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 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 an Enterprise Account Executive at Anthropic's Industries team, you'll drive the adoption of safe, frontier AI by securing strategic deals with top enterprises across the Australia markets, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise and technical acumen to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the Australia landscape.
You will be contributing to the GTM strategy for our Industries team, focusing on sector-specific solutions and strategies within key verticals. The Industries team operates as a specialized set of teams with dedicated Account Executives aligned to specific high-priority verticals including Financial Services, Healthcare and Life Sciences, and Industries Generalist. As part of our broader Commercial Industries coverage, you'll focus on the diverse range of enterprise verticals beyond these core specializations - including Telecom, Media, Energy, Manufacturing, Retail, Transportation and other major industry sectors that represent significant growth opportunities for AI adoption.
This is a highly consultative sales role as you will be cross-selling with our existing team of Account Executives, determining pricing strategy, and influencing the product roadmap based upon customer feedback. You will help define our solution-led selling approach, positioning us as strategic advisors, and provide a continuous feedback loop for internal teams to iterate on. You should be passionate about developing industry expertise, collaborating cross-functionally, and executing on our approach to the market. By driving expansion within key accounts and acquiring new logos in strategic verticals, you will help enterprises obtain new capabilities while also advancing the ethical development of AI.
Responsibilities:
Contribute to the Industries team GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams
Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals
Break into new accounts and cross-sell into existing business alongside our team of Account Executives
Own a revenue target and all aspects of the sales cycle from prospecting to close, including outbounding and engaging Tier 1 accounts
Lead with conviction by providing clear recommendations based on deep industry expertise rather than presenting a menu of options
Prioritize organizations that can serve as lighthouse customers and references within their industries
Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations
Collaborate extensively with cross-functional partners including product, engineering, legal, marketing, and Applied AI to help bring new solutions to market and provide feedback to shape roadmaps
Develop sales collateral, proposals, and presentations to effectively position Anthropic's AI products. Continuously refine sales tactics and share best practices
You may be a good fit if you have:
12+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach in the ANZ market.
Experience selling into BFSI, Media, Energy, Manufacturing, Retail, Telco, Transportation verticals
A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions
Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups
Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders
Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process
Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives
A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality. You are a true team player
A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities
A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely
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: US, Boston, MA
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 seeking a skilled and motivated Staff Field Application Engineer to lead the deployment and integration of our humanoid robot solutions at customer facilities in North America. The role involves onsite visits to customer facilities, data collection, lab-based simulations, leading the planning and execution demos, managing deployment projects, acceptance testing and leading solution integration. This position requires commitment to maintaining the highest standards, operational leadership, technical expertise, problem-solving skills, and a customer-centric approach.
WHAT YOU'LL DO
- Lead the deployment and implementation of humanoid robot solutions at customer locations.
- Plan, organize, and supervise on-site Proof of Concept (PoC) and Pilot projects, both short and long-term.
- Integrate technical development activities into the overall deployment project, working closely with technical leaders to manage delivery risks.
- Supervise visits to customer facilities to gather data, assess requirements, and ensure successful integration of robotic systems.
- Supervise the construction and use of test environments in our lab for reliability and performance testing. Define lab test and site acceptance testing strategies.
- Lead and supervise product demonstrations in the lab for customers, investors, and internal stakeholders.
- Represent the company at expos and industry events, delivering live product demos.
- Manage and coordinate the testing of different product releases, ensuring timely delivery to customer sites.
- Oversee solution integration in customer facilities, ensuring seamless operation.
- Prioritize product data and customer feedback; coordinate implementation of improvements to product performance and deployment efficiency.
- Prioritize, plan and supervise minor maintenance tasks on robotic systems, including troubleshooting with remote engineering support.
- Collaborate with engineering, product development, and customer support teams to lead optimizations to deployment strategies.
- Support key go to market activities working closely alongside our Business Development teams, including customer use case analysis and solution development.
WHAT WE'RE LOOKING FOR
- Bachelor's degree in Engineering (Mechanical, Electrical, Robotics, Mechatronics, or a related field) or equivalent technical qualification.
- Experience with leading projects in robotic solutions, automation systems, or related technologies.
- Hands-on skills in mechanical and electrical troubleshooting, assembly, and maintenance.
- Experience managing concept/pilot projects and deployment processes.
- Strong problem-solving skills with the ability to diagnose and resolve technical issues efficiently.
- Excellent organizational and communication skills to coordinate with internal teams and customers.
- Ability to work independently and adapt to dynamic environments.
- Ability to build effective working relationships with customers, including senior stakeholders and operations staff
- Ability to lead and coach others
- Willingness to travel for short-to long-term assignments at customer and partner facilities across North America with occasional travel to Humanoid HQ and other locations in Europe. Approximately 40% travel.
PREFERRED QUALIFICATIONS
- Prior experience in warehouse/logistics automation, industrial robotics or humanoid robotics deployment.
- Familiarity with software integration and sensor-based automation.
- Experience with CAD modeling, 3D scanning, or digital twin technology.
- Experience with commissioning or acceptance testing
- Experience with automation business case development.
- Experience working in complex operational environments
- Ability to deliver engaging presentations and live demonstrations to diverse audiences.
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with 4% employer match.
- Competitive equity: stock options with meaningful upside as we scale.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the expected base salary range is $130K–$160K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
Location: US, Boston, MA
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 seeking a skilled and motivated Field Application Engineer to support the deployment and integration of our humanoid robot solutions at customer facilities in North America. The role involves on-site visits to customer facilities, data collection, lab-based simulations, executing high-quality demos, conducting in-lab and in-field testing and supporting on-site solution integration. This position requires technical expertise, attention to detail, problem-solving skills, and a customer-centric approach.
WHAT YOU'LL DO
- Support the deployment and implementation of humanoid robot solutions at customer locations.
- Conduct visits to customer facilities to gather data, assess requirements to ensure successful integration of robotic solutions.
- Build physical twins, test rigs and test environments in our lab for reliability, performance and acceptance testing.
- Organize and conduct product demonstrations in the lab for customers, investors, and internal stakeholders.
- Represent the company at expos and industry events, delivering live product demos.
- Test different product releases, ensuring timely delivery to customer sites.
- Support solution integration in customer facilities, ensuring seamless operation.
- Plan, organize, and supervise on-site Proof of Concept (PoC) and pilot projects, both short and long-term.
- Collect and analyse product data and customer feedback; to improve product performance and deployment efficiency.
- Perform minor maintenance tasks on robotic systems, including troubleshooting with remote engineering support.
- Collaborate with engineering, product development, and customer support teams to optimize deployment strategies.
WHAT WE'RE LOOKING FOR
- Bachelor's degree in Engineering (Mechanical, Electrical, Robotics, Mechatronics, or a related field) or equivalent technical qualification.
- Experience with robotic solutions, automation systems, or related technologies.
- Hands-on skills in mechanical and electrical troubleshooting, assembly, and maintenance.
- Experience managing robotics or automation concept/pilot projects and deployment processes.
- Strong problem-solving skills with the ability to diagnose and resolve technical issues efficiently, under pressure.
- Excellent organizational and communication skills to coordinate with internal teams and customers.
- Ability to work independently and adapt to dynamic environments.
- Ability to build effective working relationships with customers, including senior stakeholders and operations staff.
- Willingness to travel for short-to long-term assignments at customer and partner facilities across North America with occasional travel to Humanoid HQ and other locations in Europe. Approximately 40% travel.
PREFERRED QUALIFICATIONS
- Prior experience in warehouse/logistics automation, industrial robotics or humanoid robotics deployment.
- Familiarity with software integration and sensor-based automation.
- Experience with CAD modeling, 3D scanning, or digital twin technology.
- Experience with commissioning or acceptance testing
- Experience with automation business case development.
- Experience working in complex operational environments
- Ability to deliver engaging presentations and live demonstrations to diverse audiences.
WHAT WE OFFER
- Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources.
- Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays.
- 401(k) retirement plan with 4% employer match.
- Competitive equity: stock options with meaningful upside as we scale.
- Free daily catered lunch, snacks, and drinks in‑office.
- Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics.
- Freedom to influence the product and own key initiatives.
For this role in Massachusetts, the expected base salary range is $100K–$130K USD per year; your placement in that range depends on how your experience maps to our internal leveling.
Location: United States
Workplace: Remote
ClickHouse is looking for an experienced engineer to join our Observability organization. We are hiring across two closely aligned teams: Observability Platform and Internal Observability.
Together, these teams build and operate the systems behind ClickHouse’s internal observability and ClickStack Cloud. Our platforms process trillions of events per day, sustaining throughput in the hundreds of millions of events per second. The experience we gain operating observability at ClickHouse scale feeds directly back into the platform and product we provide to customers.
The Observability Platform team builds shared systems for telemetry ingestion, durable buffering, processing, storage, autoscaling, and service provisioning. The Internal Observability team operates ClickHouse’s company-wide observability platform and works with engineering teams to improve reliability, debugging, and operational efficiency.
This is a software engineering role at the intersection of distributed systems, cloud infrastructure, and production operations. You will build systems, operate what you build, respond to incidents, and turn recurring operational problems into durable software and automation.
Your background may be in backend engineering, infrastructure, SRE, or systems engineering. What matters most is your ability to solve ambiguous production problems, make sound engineering tradeoffs, and take ownership from design through operation.
WHAT YOU’LL DO
- Design, build, and operate distributed systems that ingest, process, and store telemetry at very high scale.
- Own the reliability, performance, capacity, and cost-efficiency of telemetry pipelines and storage systems.
- Participate in the on-call rotation, help resolve production incidents, and drive root-cause fixes through to completion.
- Build software and automation that eliminate repetitive operational work and make the platform easier to operate.
- Identify architectural bottlenecks and help shape the roadmap for the next stage of scale.
- Work closely with product, infrastructure, and service teams across ClickHouse.
- Contribute to architecture and design reviews and help raise engineering quality across the team.
HOW YOU WORK
- You take ownership and proactively improve the systems around you.
- You are comfortable debugging unfamiliar distributed systems in production.
- You make pragmatic tradeoffs between reliability, performance, delivery speed, and cost.
- You communicate clearly in a remote, async-friendly environment.
- You prefer incremental delivery: ship a focused solution, validate it in production, and improve it based on evidence.
- You address the underlying cause of operational problems rather than repeatedly treating the symptoms.
TECHNICAL EXPERIENCE
- 5+ years of experience building and operating production systems at scale.
- Strong proficiency in Go.
- Experience building and operating services on Kubernetes.
- Experience with infrastructure-as-code and GitOps tooling such as Terraform, Helm, and Argo CD.
- Production experience with at least one major cloud provider: AWS, GCP, or Azure.
- Hands-on experience with telemetry systems such as OpenTelemetry, Prometheus, Grafana, or comparable technologies.
BONUS POINTS
- Experience with ClickHouse.
- Experience with high-throughput ingestion, streaming, queueing, or storage systems.
- Experience building multi-tenant cloud services.
- Experience optimizing infrastructure for both performance and cost.
- Experience with TypeScript.
#LI-Remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: United States
Workplace: Remote
ClickHouse is looking for an experienced engineer to join our Observability organization. We are hiring across two closely aligned teams: Observability Platform and Internal Observability.
Together, these teams build and operate the systems behind ClickHouse’s internal observability and ClickStack Cloud. Our platforms process trillions of events per day, sustaining throughput in the hundreds of millions of events per second. The experience we gain operating observability at ClickHouse scale feeds directly back into the platform and product we provide to customers.
The Observability Platform team builds shared systems for telemetry ingestion, durable buffering, processing, storage, autoscaling, and service provisioning. The Internal Observability team operates ClickHouse’s company-wide observability platform and works with engineering teams to improve reliability, debugging, and operational efficiency.
This is a software engineering role at the intersection of distributed systems, cloud infrastructure, and production operations. You will build systems, operate what you build, respond to incidents, and turn recurring operational problems into durable software and automation.
Your background may be in backend engineering, infrastructure, SRE, or systems engineering. What matters most is your ability to solve ambiguous production problems, make sound engineering tradeoffs, and take ownership from design through operation.
WHAT YOU’LL DO
- Design, build, and operate distributed systems that ingest, process, and store telemetry at very high scale.
- Own the reliability, performance, capacity, and cost-efficiency of telemetry pipelines and storage systems.
- Participate in the on-call rotation, help resolve production incidents, and drive root-cause fixes through to completion.
- Build software and automation that eliminate repetitive operational work and make the platform easier to operate.
- Identify architectural bottlenecks and help shape the roadmap for the next stage of scale.
- Work closely with product, infrastructure, and service teams across ClickHouse.
- Contribute to architecture and design reviews and help raise engineering quality across the team.
HOW YOU WORK
- You take ownership and proactively improve the systems around you.
- You are comfortable debugging unfamiliar distributed systems in production.
- You make pragmatic tradeoffs between reliability, performance, delivery speed, and cost.
- You communicate clearly in a remote, async-friendly environment.
- You prefer incremental delivery: ship a focused solution, validate it in production, and improve it based on evidence.
- You address the underlying cause of operational problems rather than repeatedly treating the symptoms.
TECHNICAL EXPERIENCE
- 5+ years of experience building and operating production systems at scale.
- Strong proficiency in Go.
- Experience building and operating services on Kubernetes.
- Experience with infrastructure-as-code and GitOps tooling such as Terraform, Helm, and Argo CD.
- Production experience with at least one major cloud provider: AWS, GCP, or Azure.
- Hands-on experience with telemetry systems such as OpenTelemetry, Prometheus, Grafana, or comparable technologies.
BONUS POINTS
- Experience with ClickHouse.
- Experience with high-throughput ingestion, streaming, queueing, or storage systems.
- Experience building multi-tenant cloud services.
- Experience optimizing infrastructure for both performance and cost.
- Experience with TypeScript.
#LI-Remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: European Union; Ukraine
Workplace: Remote
ABOUT US
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
ABOUT THE ROLE
We are looking for a Data Analytics Engineer to build, optimize, and maintain the analytical data layer that powers decision-making across the organization. You will transform business requirements into reliable, well-modeled datasets using dbt, SQL, and cloud data warehouses (BigQuery, ClickHouse). This role combines data modeling, documentation, data quality design, and close collaboration with analysts, engineers, and product teams to ensure consistent, trustworthy reporting.
You will serve as the bridge between raw data ingestion and analytics — shaping how data is structured, validated, and delivered.
Responsibilities
- Design, build, and maintain dbt models (staging, core, marts) based on business needs
- Develop scalable SQL transformations and ensure efficient, cost-effective query performance
- Implement data quality tests (dbt tests, custom checks, anomaly detection) and maintain high data reliability.
- Create and maintain documentation for datasets, data lineage, business logic, and transformation rules
- Collaborate with Data Engineers on improving raw data structures, ingestion patterns, and source readiness
- Partner with Data Analysts, Product Managers, and Marketing teams to translate business requirements into clean, reusable data models
- Monitor data pipelines and marts, resolve issues, and prevent inconsistencies in reporting
- Support governance initiatives: naming conventions, taxonomy, schemas, metric definitions, and standardization
- Contribute to continuous improvement of our data modeling frameworks, performance tuning, and technical decision-making
Requirements
- Strong SQL experience with a deep understanding of analytical modeling concepts
- Hands-on experience with dbt (models, tests, docs, macros)
- Experience working with cloud data warehouses such as BigQuery or ClickHouse
- Understanding of data modeling patterns
- Familiarity with data engineering concepts (ELT/ETL, orchestration, version control, CI/CD)
- Experience with data quality frameworks or implementing validation logic
- Ability to translate complex business processes into clean analytical datasets.
- Strong documentation skills and attention to detail
- Experience collaborating with cross-functional teams and supporting analysts with reliable data
- Knowledge of Python is a plus (but not required)
Nice To Haves
- Experience with orchestration tools (Airflow, Dagster)
- Experience working with marketing, product, or billing datasets
- Exposure to metric layers, semantic layer design, or BI governance
- Basic understanding of observability tooling (Grafana, Prometheus, ... )
- Experience optimizing BigQuery costs or ClickHouse performance
LOCATION
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
BENEFITS
Discover the perks of being part of our vibrant team! We offer:
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
INTERVIEW PROCESS
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes)
- Technical Interview (90 minutes)
- Final Interview (60 minutes)
LIFE AT RUBY LABS
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
#LI-Remote
Location: San Francisco, CA | New York City, NY
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 the Manager of Commercial Applied AI Architects at Anthropic, you will drive adoption of frontier AI across our mid-market and SMB customers by leading a team of technical architects who help companies build and deploy with the Claude API, Claude Code, the Agent SDK, and Claude for Enterprise. Commercial is one of Anthropic's largest and fastest-moving books of business: thousands of companies, a rapidly growing sales team, and a small group of architects whose job is to change deal outcomes where technical depth matters most. Your team's leverage does not come from being everywhere. It comes from choosing the right accounts to go deep on, then turning what they learn there into blueprints, demos, tooling, and enablement that reach the rest of the book.
You will bring your own builder credibility and technical judgment to the role. Our architects ship working code: prototypes, eval frameworks, near-production examples that customers extend, and internal tooling that scales the team itself. You do not need to be the strongest engineer in the room, but you should expect to be in the work with your team, not just reviewing it from above. When an architect is deep in a hard engagement, you will often be right there alongside them, unblocking, pairing, and pressure-testing, while the account itself stays theirs.
This is a first-line leadership role reporting to the Head of Applied AI, Commercial. You will start by managing a team of architects and are expected to help grow it well beyond its current size, partnering with Commercial sales leadership on coverage, qualification, and where technical investment pays off. You will co-own the strategy for how Applied AI shows up in the Commercial segment, and you will be judged on your team's outcomes and growth, not your own.
Responsibilities:
Manage, coach, and grow a team of Commercial Applied AI Architects, setting a high bar for technical credibility, customer impact, and speed
Own hiring for your team as it scales, defining the profile, running the loop, and building onboarding that gets new architects into customer conversations quickly
Set goals and run reviews for your team, and develop each architect's career with clear, direct feedback
Decide where your team's depth goes. Own the qualification and prioritization framework for Applied AI engagement across a very large book, and be comfortable saying no
Work alongside your architects on their most consequential engagements, from technical discovery through deployment and expansion, and model what great looks like without taking the work off their plate
Build and own the segment's technical playbooks for Claude API integrations, Claude Code rollouts, agentic architectures on the Agent SDK, and Claude for Enterprise deployments, and turn account-level wins into reusable assets that scale one-to-many
Partner closely with Commercial sales leadership and Account Executives to co-build segment strategy, tighten the AE-to-architect operating model, and drive adoption across mid-market and SMB
Ensure your team consistently surfaces how mid-market companies are building with Claude, and translate that signal into actionable feedback for Product and Engineering
Represent Anthropic technically at customer sites, workshops, roadshows, and events, and contribute to thought leadership through content and speaking
Stay ahead of the AI engineering landscape, including agentic architectures, eval design, context engineering, and developer tooling, and keep your team operating at the frontier
You may be a good fit if you:
Have 7+ years of experience in technical customer-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, or similar), with 3+ years managing pre-sales or technical go-to-market teams
Know how to hire well, coach effectively, give hard feedback kindly, and create an environment where builders do their best work
Have led technical teams in a high-velocity, high-volume sales motion, where the constraint is your team's capacity rather than pipeline, and have a real point of view on how to allocate scarce technical talent across a large book
Bring builder credibility. You have built and deployed LLM-powered applications, you understand what separates a prototype from a production system, and you can hold your own with a customer's engineering leadership
Have hands-on familiarity with agentic architectures, LLM evaluation, and modern AI developer tooling, and can coach architects through the design decisions their customers face
Have a systems mindset. When you see a problem, your instinct is to build one thing that serves ten customers rather than ten things that serve one
Are comfortable in ambiguous, early-stage environments where the playbook does not exist yet, and have a track record of building structure as you go
Have strong executive presence and can build trust with technical and business leaders alike
Have a genuine passion for making powerful technology safe and societally beneficial
Strong candidate may have:
Scaled a technical pre-sales or forward-deployed team from a handful of people to a mature function, including defining the hiring bar, onboarding programs, and coaching systems from scratch
Sold to and built for mid-market companies, with a clear understanding of how technical buying decisions differ between a 500-person company and a Fortune 500
Rolled out AI coding assistants or developer tools inside engineering organizations, and know how those teams evaluate, adopt, and measure them
A visible technical presence through conference talks, written content, or open-source contributions
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$315,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. 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: Remote, United Kingdom
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 an Assigned Support Engineer, you’ll be a trusted technical advisor to GitLab’s largest Self-managed, GitLab Dedicated, and GitLab.com customers, helping them avoid operational disruption and get the most from GitLab. You’ll combine deep Linux systems expertise, GitLab and CI/CD knowledge, and a proactive support mindset to understand each customer’s environment, anticipate and prevent issues, and solve complex technical and business challenges. In a typical week, you might be prioritizing strategic blockers with customer stakeholders, partnering with Product, Development, Infrastructure, Customer Success, and Sales to drive defect resolution and influence the roadmap, or diving into code, logs, and tools like strace to troubleshoot performance issues. Your impact in the first year will be measured by customer trust, reduced critical incidents, and clear, reusable support content that empowers customers and GitLab teams alike.
What you’ll do
Provide technical support to our largest Self-managed, GitLab Dedicated, and GitLab.com customers, ensuring their GitLab environments remain stable and performant.
Troubleshoot and resolve complex, critical, and sensitive support issues using tools like Zendesk, logs, and Linux utilities such as strace, through email and video conferencing.
Build strong, proactive relationships with key customer stakeholders, helping them prioritize and address their most important technical blockers.
Collaborate with
Product
,
Development
,
Infrastructure
,
Customer Success
, and
Sales
teams to drive bug fixes, influence feature development, and help shape product goals and roadmap.
Act as a technical expert on GitLab and CI/CD implementations, advising customers on how incidents and service interruptions impact their workflows and how to mitigate them.
Create and improve support content, including documentation and knowledge articles, to help customers and GitLab team members resolve issues more efficiently.
Partner closely with Support Engineering team members through
pairing sessions
and
stable counterpart
relationships to share knowledge and solve problems together.
Contribute to team growth by participating in hiring processes, including reviewing applications and assessments and joining interviews.
What you’ll bring
Background managing complex, customer facing support cases end to end, from initial inquiry and triage through reproduction, escalation, and resolution.
Advanced troubleshooting skills with the ability to investigate ambiguous, multi-layered technical issues and identify root causes across applications, infrastructure, and integrations.
Strong Linux systems administration knowledge (LFCE or RHCE equivalent), including performance analysis and low-level debugging tools.
Practical experience with GitLab and continuous integration / continuous delivery (CI/CD), including how different deployment models and outages affect customers.
Ability to write and maintain clear, reusable support content such as knowledge articles, runbooks, and troubleshooting guides.
Proficiency with scripting languages (such as Ruby or Bash) and familiarity with model-view-controller (MVC) frameworks, preferably Ruby on Rails.
Effective communication skills for explaining complex technical topics to audiences with varying technical backgrounds and for building rapport with customer stakeholders.
Familiarity with DevOps practices and technologies such as Kubernetes and serverless platforms, with openness to applying transferable skills from related domains.
About the team
The Support team is a fully distributed, global group across the AMER, EMEA, and APAC regions, focused on helping customers get the most from GitLab by troubleshooting complex issues and digging into code and logs to understand why something is not working as expected. As an Assigned Support Engineer, you’ll be part of our broader Support Engineering organization, working closely with other Support Engineers through regular pairing sessions, 1:1s, coffee chats, and Slack conversations to stay connected while collaborating asynchronously across time zones. We balance autonomy with accountability, giving you flexibility to structure your shift in a way that fits your life while ensuring we can reliably address customer issues. Thanks to GitLab’s
Transparency
value, you can see what we are working on in our
Support Team
page. Additionally, you can see our
company roadmap
and
meetings
to see what we are working on at any time.
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: 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 an Assigned Support Engineer, you’ll be a trusted technical advisor to GitLab’s largest Self-managed, GitLab Dedicated, and GitLab.com customers, helping them avoid operational disruption and get the most from GitLab. You’ll combine deep Linux systems expertise, GitLab and CI/CD knowledge, and a proactive support mindset to understand each customer’s environment, anticipate and prevent issues, and solve complex technical and business challenges. In a typical week, you might be prioritizing strategic blockers with customer stakeholders, partnering with Product, Development, Infrastructure, Customer Success, and Sales to drive defect resolution and influence the roadmap, or diving into code, logs, and tools like strace to troubleshoot performance issues. Your impact in the first year will be measured by customer trust, reduced critical incidents, and clear, reusable support content that empowers customers and GitLab teams alike.
What you’ll do
Provide technical support to our largest Self-managed, GitLab Dedicated, and GitLab.com customers, ensuring their GitLab environments remain stable and performant.
Troubleshoot and resolve complex, critical, and sensitive support issues using tools like Zendesk, logs, and Linux utilities such as strace, through email and video conferencing.
Build strong, proactive relationships with key customer stakeholders, helping them prioritize and address their most important technical blockers.
Collaborate with
Product
,
Development
,
Infrastructure
,
Customer Success
, and
Sales
teams to drive bug fixes, influence feature development, and help shape product goals and roadmap.
Act as a technical expert on GitLab and CI/CD implementations, advising customers on how incidents and service interruptions impact their workflows and how to mitigate them.
Create and improve support content, including documentation and knowledge articles, to help customers and GitLab team members resolve issues more efficiently.
Partner closely with Support Engineering team members through
pairing sessions
and
stable counterpart
relationships to share knowledge and solve problems together.
Contribute to team growth by participating in hiring processes, including reviewing applications and assessments and joining interviews.
What you’ll bring
Background managing complex, customer facing support cases end to end, from initial inquiry and triage through reproduction, escalation, and resolution.
Advanced troubleshooting skills with the ability to investigate ambiguous, multi-layered technical issues and identify root causes across applications, infrastructure, and integrations.
Strong Linux systems administration knowledge (LFCE or RHCE equivalent), including performance analysis and low-level debugging tools.
Practical experience with GitLab and continuous integration / continuous delivery (CI/CD), including how different deployment models and outages affect customers.
Ability to write and maintain clear, reusable support content such as knowledge articles, runbooks, and troubleshooting guides.
Proficiency with scripting languages (such as Ruby or Bash) and familiarity with model-view-controller (MVC) frameworks, preferably Ruby on Rails.
Effective communication skills for explaining complex technical topics to audiences with varying technical backgrounds and for building rapport with customer stakeholders.
Familiarity with DevOps practices and technologies such as Kubernetes and serverless platforms, with openness to applying transferable skills from related domains.
About the team
The Support team is a fully distributed, global group across the AMER, EMEA, and APAC regions, focused on helping customers get the most from GitLab by troubleshooting complex issues and digging into code and logs to understand why something is not working as expected. As an Assigned Support Engineer, you’ll be part of our broader Support Engineering organization, working closely with other Support Engineers through regular pairing sessions, 1:1s, coffee chats, and Slack conversations to stay connected while collaborating asynchronously across time zones. We balance autonomy with accountability, giving you flexibility to structure your shift in a way that fits your life while ensuring we can reliably address customer issues. Thanks to GitLab’s
Transparency
value, you can see what we are working on in our
Support Team
page. Additionally, you can see our
company roadmap
and
meetings
to see what we are working on at any time.
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
$126,400
—
$213,600 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 | New York City, NY | Seattle, WA
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
Anthropic trains and serves Claude across multiple cloud providers and accelerator platforms. The Platform Portability team owns the abstractions, tooling, and deployment infrastructure that make this possible without every engineering and research team needing to become experts in different clouds.
As an engineer on Platform Portability, you'll design and build the systems that let us bring up new capacity, ship our platform to cloud provider platforms & marketplaces, and move workloads between providers with confidence. You'll work closely with our cloud partners on capabilities we need that don't exist yet, and with internal Compute, Inference, and Security teams to make "which cloud is this running on?" a question most engineers at Anthropic never have to ask. Your work directly determines how quickly and reliably we can put safe, frontier AI in front of users — wherever they are.
What you'll do
Our work splits into two workstreams, and we need your help across both.
Portable infrastructure.
We build the provider-agnostic abstractions for storage, messaging, and connectivity that let Anthropic's systems run on any cloud, and they have to hold up at the scale of frontier model inference. You'll design and build those abstractions, plus the tooling that lets internal teams provision, configure, and operate services across clouds through one consistent interface. You'll also hunt down the provider-specific assumptions hiding in our codebase and set the patterns that keep new ones from creeping in.
Claude on partner clouds.
We ship Claude onto third-party cloud platforms, and every launch has to be repeatable. You'll own that delivery end to end, including the build, release, and validation pipelines behind it. You'll work directly with engineering teams at our cloud partners and internal infrastructure stakeholders to land the features we need, debug platform issues, and influence their roadmaps. Expect to go deep on native integrations with each provider, and to do the cross-cutting work that keeps our platform consistent across all of them.
Across both, you'll shape how the rest of Anthropic builds for multiple clouds. You'll review designs with cloud-portability implications, mentor engineers across the org on multi-cloud patterns, and bring internal stakeholders into alignment through clear writing and conversation. You'll also take your turn in the on-call rotation, and you'll design the postmortems, runbooks, and incident response that help us never fail the same way twice.
You might be a good fit if you:
Have a minimum of 8 years of practical experience building and operating production distributed systems
Own large-scale infrastructure systems and lead ambiguous, cross-team technical projects from design through production
Run the same production workload across multiple cloud providers, including the migration or abstraction work that made it possible
Understand how cloud IAM models and networking primitives (VPC peering, private connectivity, service mesh) differ across providers
Write production code in at least one general-purpose programming language (e.g., Python, Go, or Rust)
Work confidently with Kubernetes and Infrastructure as Code (e.g., Terraform, Pulumi)
Understand ML infrastructure and supporting interconnects
Ship software through hyperscaler marketplaces or managed-model platforms
Bring a background in security, compliance, or data residency for regulated or sovereign cloud environments
Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. 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: Remote (USA)
Workplace: remote
Arcadia is the most trusted healthcare platform powering outcomes. We transform complex healthcare data into trusted intelligence, helping providers, payers, and life sciences organizations act with clarity, make confident decisions, and achieve measurable clinical, operational, and financial outcomes.
Built on a comprehensive data foundation spanning tens of millions of patient lives, Arcadia combines advanced analytics and responsible AI to surface meaningful insights, coordinate action, and improve performance at scale. Our approach to AI and automation is governed and transparent — designed to strengthen human expertise, not replace judgment or obscure responsibility.
Hundreds of organizations rely on Arcadia to improve cost, quality, and outcomes. Backed by Nordic Capital, we continue to invest in our platform, AI capabilities, and people as we pursue our purpose: helping healthcare deliver better outcomes for every person, every community, and every generation.
Why This Role Is Important to Arcadia
Arcadia’s data and analytics platform is used by hundreds of health systems, ACOs, payers, and life sciences organizations, touching tens of millions of patient lives. This role owns how our agentic capabilities perform at that same scale: accurate, transparent about their own confidence, and safe for the clinicians, care teams, and patients who depend on them.
As a staff-level individual contributor, you will own the product-layer decisions that shape agent behavior, including prompting, retrieval and context, memory and state, evaluation, and escalation, while partnering with Product and Engineering on the systems that support them. Your work will help Arcadia make evidence-based launch decisions and scale responsible AI that is steerable, trustworthy, and ready for real healthcare workflows.
What Success Looks Like
In 3 months
You have established a production-grounded baseline for priority agentic workflows, with documented failure modes, severity-weighted evaluation rubrics, and a clear measurement plan
You have mapped the current retrieval, context, memory, and escalation patterns and identified the highest-value opportunities to improve reliability, calibration, and cost
You have earned trust across Product and Engineering by turning production evidence into clear, actionable recommendations
In 6 months
What You'll Be Doing
Design and
iterate on
agent behavior across real, live workflows, including long-
horizon
, multi-turn agentic tasks
Design retrieval and context architecture so the right source data reaches a model in the right
structure
and agents
remain
grounded in real data rather than filling gaps with assumptions
Design memory and state handling across multi-turn and multi-agent flows,
determining
what is carried forward, summarized, or dropped and why
Create context and prompt templates that combine few-shot examples, structured formatting, and reasoning scaffolding for consistent agent behavior
Improve performance through prompting, tool-use strategy, and context construction,
validated
through direct experimentation rather than guesswork
Build and run evaluations against real production conditions to measure performance,
regressions
, failure modes, and edge cases
Author evaluation rubrics, quality heuristics, and thresholds that weight failures by severity and cost
,
not just frequency
,
and
monitor
those measures against production behavior
Design and
validate
escalation paths that route agents to human review based on confidence and uncertainty while preserving safety and consistency under adversarial and edge-case conditions
Design for cost-aware performance alongside latency, reliability, and accuracy through efficient context construction and tool-call economy
Evaluate and sign off on model changes by baselining current behavior, running comparative evaluations, and making the go/no-go call before a change reaches a customer
Maintain product-level AI documentation, including model cards, intended use, limitations, and known failure modes, so customer-facing teams work from actual agent behavior
Partner closely with Product and
product managers
to ensure agents are not just capable, but steerable, trustworthy, and ready to scale
What You'll Bring
Bachelors degree in Engineering or related field and/or masters of Data Science or related field
4+ years of production software engineering experience, including 3+ years of hands-on ownership of ML, LLM, or agentic systems in production, with direct experience in healthcare, finance, or another regulated industry
Demonstrated ability to diagnose why an agent failed, correctly attribute the fix to instruction, retrieval, context, or memory design, and weigh failures by severity and cost rather than frequency alone
Hands-on experience with RAG architecture, production-grounded evaluation frameworks, and fallback or human-in-the-loop logic for automated systems
Working familiarity with AWS AI/ML services, including Bedrock and SageMaker, sufficient to build and evaluate effectively in Arcadia’s environment
Evidence-led judgment and the credibility to push back on launch decisions, paired with a builder’s instinct to run the experiment and move from a production failure to a fix
Would Love for You to Have
Experience applying AI to healthcare data or workflows where safety, transparency, and calibrated uncertainty directly affect care teams or patients
Experience with long-horizon, multi-turn or multi-agent workflows and product-level AI documentation such as model cards
What You'll Get
The opportunity to define how agent performance, safety, and readiness are measured for
production
healthcare workflows
Meaningful ownership across prompts, context, memory, evaluations, and escalation patterns at product scale
A cross-functional role translating production evidence into AI improvements used across Arcadia’s platform
A mission-driven company working to improve how patients receive care
A flexible, remote-friendly culture with personality and heart
Employee-driven programs and initiatives for personal and professional development
Membership in the talented, energized, diverse, and purpose-driven Arcadian community
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
Location: Ciudad de México, Mexico
Workplace: hybrid
Location: Mexico City (Hybrid for Mexico location and remotely for others locations) |
Department: Strategy D&A Office
Company: NOVACARD
Be part of NOVACARD’s transformation into a truly data-driven fintech.
We’re looking for a Strategy & Data Governance Analyst — a key contributor bridging business strategy, financial analytics, and enterprise data management.
Your mission is to build a data-empowered decision culture: translate data into strategic insights, ensure data quality and governance, and support data-driven business planning.
📝 What You’ll Do – Responsibilities:
📈 Drive Strategic Analytics
· Analyze company performance across key fintech metrics: acquisition, activation, retention, monetization, and churn.
· Build and maintain unit-economics models to evaluate channel profitability, LTV/CAC dynamics, and payback periods.
· Identify growth drivers, operational inefficiencies, and levers for strategic improvement.
· Provide analytical support for strategic planning, quarterly targets, and investment prioritization.
🧠 Lead Data-Driven Transformation
· Design and implement a framework for data-driven decision-making across departments.
· Establish standardized KPI definitions, reporting hierarchies, and accountability chains.
· Support leadership in translating business goals into measurable data objectives.
🧩 Build Data Governance Framework
· Coordinate creation and maintenance of core governance artifacts:
· Metadata descriptions
· Enterprise Data Catalog
· Data Lineage (technical and business flow mapping)
· Business Glossary (data stewards and owners register)
· Data Quality Rules & Profiling metrics
· Data Observability & Monitoring dashboards
· Collaborate with IT, Data Engineering, and Product teams to ensure reliable and transparent data flows.
🔍 Maintain Data Quality & Trust
· Define and monitor data quality KPIs: completeness, consistency, timeliness, and accuracy.
· Investigate data anomalies and drive root-cause analysis with responsible teams.
· Build automated data quality and observability processes within DWH and reporting layers.
🧪 Run Strategic Experiments
· Design and analyze A/B and multivariate tests supporting product and business hypotheses.
· Measure incremental impact of product, pricing, and communication changes on key business metrics.
· Apply statistical rigor to evaluate significance and scalability of experimental results.
📊 Deliver Executive Insights
· Develop dashboards and reports that translate complex data into actionable recommendations for management.
· Support financial planning, forecasting, and scenario analysis with data-driven models.
· Ensure consistent alignment between operational KPIs and strategic company goals.
🤝 Cross-Functional Collaboration
· Act as an interface between Strategy, Product, Data, and Finance teams.
· Promote data stewardship culture and educate teams on proper data usage and governance principles.
· Facilitate adoption of data-governance tools and processes across the organization.
📝 Regular Tasks:
· Maintain financial and operational KPI dashboards in Power BI (or similar).
· Conduct deep-dive analyses on acquisition, retention, and monetization metrics.
· Support management in quarterly OKR reviews with analytical insights and forecasts.
· Curate metadata, lineage, and glossary entries for critical datasets.
· Track implementation of governance policies and compliance with data ownership model.
· Evaluate effectiveness of data quality monitoring tools and workflows.
· Prepare and present analytical materials for leadership and board-level reviews.
💻 Skills & Tools:
✅ SQL – advanced level for analytics and governance queries.
✅ Python – for modeling, statistical analysis, and data validation.
✅ Power BI (or similar- Tableau, Looker etc) – for data storytelling and executive reporting.
✅ Data Governance Platforms – experience with Ataccama, Collibra, Alation, OpenMetadata or etc.
✅ DWH & Integration – understanding of pipelines, data lineage, and data catalog integration (Postgres, etc.).
✅ Statistics & Experimentation – hypothesis testing, regression, causal inference, cohort analysis.
✅ Financial & Strategic Analysis – familiarity with unit economics, LTV, CAC, margin modeling.
🌟 Soft Skills:
🗣️ Strategic Communication – ability to distill analytical insights into concise strategic narratives for executives.
🧩 Systems Thinking – connects operational processes, data flows, and financial outcomes.
📋 Project Management – coordinates cross-team governance initiatives.
🔎 Critical Thinking – detects weak points in data logic and decision frameworks.
🤝 Stakeholder Leadership – builds alignment among Product, Risk, Marketing, Operations, Legal, Finance, DWH and IT.
🚀 Change Catalyst – inspires teams to adopt data-driven practices and maintain analytical discipline.
Location: New York, NY (HQ); San Francisco, CA; Remote (US)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Ramp wins when our customers win. Ramp’s customer base is scaling rapidly, spanning more businesses, more users, and more use cases across increasingly complex finance operations. At the same time, our expanding product surface area — from cards and expense management to bill payments, procurement, vendor management, accounting automation, and emerging products — is creating more nuanced customer needs and more cross-functional support moments. AI is changing what is possible in parallel: giving CX new ways to route, resolve, and guide customers, while raising the bar for where human judgment, specialization, and consultative support matter most.
We are hiring a Director to lead a critical part of our omni-channel Customer Experience organization: the teams and leaders serving customers across Phone, Email, and Chat. You will lead within a 24/7 customer operation, ensuring the right coverage, leadership, and customer experience across channels. This role is accountable for the performance of its channel portfolio, helping customers get the right answer quickly and delivering consistent results across quality, speed, productivity, and customer satisfaction.
The role combines direct leadership of channel teams with close partnership across CX Operations, CX Specialized teams, CX AI Ops, and Product Operations. You will develop strong managers and frontline teams, create real accountability, and stay close enough to the work to understand where customers and teams are getting stuck. You will translate the department’s direction into clear priorities, stronger operating routines, and measurable improvements across Phone, Email, and Chat.
Because Ramp’s CX team sits within the Product organization, this role has close ties to the technical teams and products our customers use every day. That proximity gives CX a unique opportunity to turn frontline insight into better workflows, stronger product feedback loops, and an AI-powered way of working.
This role is a strong fit for a thoughtful, hands-on leader who learns quickly, raises the bar, and makes clear decisions in a fast-changing environment. You are comfortable owning the day-to-day, rolling up your sleeves to understand the work and the product deeply, developing people, setting high standards, and turning complex problems into clear plans that improve outcomes for customers and teams. You will help define how managers lead, how frontline teams use AI and automation, where human judgment matters most, how channels work together, and how CX scales through Ramp’s next chapter.
If you love building high-performing teams, solving hard operational problems, and helping customers win through rapid product, business, and AI-driven change, this role is for you.
WHAT YOU’LL DO
- Own day-to-day channel execution — lead Phone, Email, and Chat teams, stay close to the work, and drive frontline performance across customer satisfaction, quality, service levels, resolution quality, and productivity.
- Develop CX leadership — coach Managers, set clear expectations, and build accountability for team performance and customer outcomes.
- Serve as an escalation point — help resolve high-priority customer and internal escalations, bringing sound judgment, urgency, and clear communication to complex issues.
- Improve tools, workflows, and channel execution — use product knowledge, customer feedback, quality findings, and performance data to improve operating routines, resolve cross-channel trade-offs, and partner with CX Operations, CX Specialized teams, AI, Product Operations, Product, Engineering, Risk, and other stakeholders on better workflows and automation opportunities.
- Challenge how we operate — evaluate whether our metrics, workflows, team structures, training, and operating model meet today’s customer and business needs. Bring a founder mindset by questioning assumptions, testing new approaches, and helping the organization evolve.
- Shape the AI-powered future of CX — define how CX should evolve as Ramp grows, including how managers lead, how frontline teams use AI and automation, where specialization improves the customer experience, and where human judgment should be elevated.
- Turn strategy and emerging opportunities into scalable operations — translate department priorities and new business areas into clear channel plans, repeatable processes, strong change management, and high adoption across Phone, Email, and Chat.
WHAT YOU NEED
- Experience as a leader who has managed large, complex operational teams in a fast-paced environment; traditional support experience is valuable but not required.
- Exceptional learning agility and horsepower, with startup or similarly high-ownership operating experience; you learn new domains quickly, move through ambiguity, and build structure without waiting for perfect information.
- A record of improving customer-facing operations through rigorous analysis, strategic problem solving, and strong execution, including finding practical solutions to complex problems others may miss.
- An empathetic, direct leadership style that develops people while holding a high personal and team bar for performance, quality, ownership, and follow-through.
- Strong written and verbal communication, including the ability to align teams and cross-functional partners around difficult decisions.
- A builder mentality around technology and operations, with experience using AI, automation, or workflow tooling to transform the customer and team experience and drive changes from idea to adoption.
- Curiosity about the business behind the support motion, with the ability to connect customer needs, product complexity, frontline workflows, and company priorities.
NICE TO HAVES
- Experience leading multiple customer-facing channels, such as Phone, Email, Chat, or other real-time and asynchronous support operations.
- Experience in FinTech, financial services, or another complex, highly regulated environment.
- Experience partnering with operations, product, or tooling teams to improve customer-facing workflows across multiple teams.
- Experience scaling customer operations at a high-growth startup.
COMPENSATION
For candidates located in New York City or San Francisco, the base salary range for this role is $220,000–$290,000. For candidates located in all other locations, the base salary range will be between $190,000-$260,000.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: London, UK
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 an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity API and SaaS solutions to insurance organisations across the EMEA markets. You'll drive the adoption of safe, frontier AI by securing strategic deals with insurers, reinsurers, brokers and MGAs. You'll leverage your consultative sales expertise in the insurance sector to propel revenue growth while becoming a trusted partner to insurance stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in underwriting, claims handling, and distribution. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with insurance decision-makers.
The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI.
Responsibilities:
Win new business and drive revenue for Anthropic within the insurance sector. Navigate complex insurance organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close
Design and execute innovative sales strategies tailored to insurance procurement cycles, vendor risk assessment, and budgeting processes to meet and exceed revenue quotas. Analyse insurance market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns
Spearhead market expansion by identifying new use cases within underwriting teams, claims operations, actuarial functions, and distribution channels. Collaborate cross-functionally to differentiate our offerings for insurance applications
Navigate complex insurance stakeholder ecosystems including executives, underwriting and claims leadership, IT departments, risk and compliance functions, and procurement offices to build consensus
Inform product roadmaps and features by gathering feedback from users and conveying insurance market needs. Provide insights that strengthen our value proposition for insurance
Continuously refine the insurance sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimise sales productivity and consistency
You may be a good fit if you have:
8+ years of B2B sales experience in SaaS, API solutions, or emerging technologies
A track record of managing complex sales cycles within insurance organisations and securing strategic deals by understanding both technical requirements and insurance use cases
Demonstrated ability to navigate insurance organisational structures and procurement processes, building consensus among diverse stakeholders including executives, underwriting and claims leadership, and IT departments
Extensive experience negotiating complex agreements within insurance procurement frameworks, vendor risk and third-party assurance policies
Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process
Excellent communication skills and the ability to present confidently to various insurance audiences, from underwriters and claims managers to senior executives
Deep understanding of insurance buying cycles, decision-making processes, and key pain points, including the regulatory environment insurers operate within
A strategic, analytical approach to assessing the insurance market combined with creative, tactical execution to capture opportunities
A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for insurance use
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
£280,000
—
£330,000 GBP
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: Atlanta
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
Job Description
We are looking for a seasoned underwriter with a background in payments, due diligence, and financial analysis to join our Platforms Underwriting team in Atlanta.
You will be part of a team that is responsible for underwriting applications for customers utilizing Checkout.com http://Checkout.com’s solution for platforms, primarily Payment Facilitators, Marketplaces, and Staged Digital Wallet Operators. This team focuses on analysis relevant to Customer Due Diligence, Enhanced Due Diligence, Business Model, Credit, and Financial Analysis.
This role offers unique exposure to our core business areas, collaborating closely with our key internal players (Commercial, Compliance, Risk, Legal teams and Senior Management) and our high-value merchants and partners.
How you'll make an impact
- Conduct business model analysis and a holistic assessment of a customer’s risk profile, leveraging your proficient-level understanding of the risks and requirements of different Platform models (ISVs, Payfacs, Marketplaces, Staged Digital Wallets, MORs).
- Conduct customer due diligence and enhanced due diligence analysis on prospective customers including KYC, KYB, PEP, Sanctions, and Adverse Media screening.
- Conduct expert-level analysis of P&L, balance sheet, and cash flow statements of Platform models and other high-risk sectors.
- Prepare persuasive summaries to internal stakeholders and risk committees, identifying mitigants and making balanced recommendations for each deal.
- Represent the Platform Underwriting team in leading and attending customer calls and meetings alongside Sales or Account Managers.
- Approve individual credit submissions in line with approval authority.
- Identify operational issues and areas for improvement, and make detailed recommendations on how to improve the merchant onboarding experience.
- Act as a mentor to new or junior team members through training initiatives and credit approvals.
- Foster a culture of collaboration with key internal stakeholders, in particular Sales/Account Managers, and first and second line Risk and Compliance personnel and Legal.
- Contribute to department and cross-functional projects/initiatives as required.
What we’re looking for
- Proficient-level understanding of Checkout's Platform product offering, including features and limitations, and the ability to independently classify different Platform models.
- Expert-level financial statement analysis and credit exposure assessment ability.
- Demonstrated ability to make sound judgments, balancing risk and reward.
- Competent escalation management, acting with urgency to ensure escalations are prioritized, owned, and resolved effectively.
- Ability to continually monitor and independently manage competing priorities and adjust accordingly without impact to SLA attainment.
- Excellent written and interpersonal communication skills, with concise presentation skills and the ability to deliver complex messages clearly.
- A passion for operational improvement initiatives and the ability to contribute to broader department initiatives and projects.
- Possess a ‘customer first’ approach to delivering creative solutions.
Experience you'll bring to the role
- 6+ years of direct experience related to financial analysis or merchant underwriting.
- 5+ years of work experience related to due diligence, merchant underwriting, or equivalent underwriting work.
- Demonstrable experience related to customer due diligence, enhanced due diligence, merchant underwriting, credit insurance, and/or commercial lending.
- Subject matter expertise in AML/CTF and/or underwriting and financial analysis.
- Domain expertise within the payments or Fintech industry will be preferable.
- Previous experience coaching or mentoring is desirable.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: San Francisco, CA | New York City, NY
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
We are looking for experienced backend and distributed systems engineers to join the Agentic Systems team within our Platform organization. Agentic Systems builds Claude Managed Agents: the hosted platform for building, running, and scaling production agents on Claude. Instead of every developer hand-rolling an agent loop, sandboxed execution, state management, credential handling, and error recovery — and reworking all of it with every model release — Managed Agents pairs an Anthropic-built agent harness with production infrastructure for sessions, environments, tools, memory, and permissions, exposed through a small set of composable APIs designed to stay stable as models and harnesses evolve. It powers agentic products inside Anthropic as well as those built by customers on the Claude Platform.
Managed Agents is in public beta and growing quickly, and this is still an early team with a lot of surface area left to define. You'll drive 0 → 1 efforts from ideation through GA, own systems end to end from API design through operations, and partner closely with product, research, developer experience, and go-to-market teams to figure out what "managed" should mean for the next generation of agents. You should be comfortable going deep on hard distributed systems problems, care about APIs as a product in their own right, and be motivated by turning ambiguous ideas into high-quality, shipped platform capabilities that other engineers build their products on.
What you'll do
Scale the platform.
Managed Agents runs long-lived, stateful sessions that execute autonomously for minutes or hours/days, persist through disconnections, and resume cleanly — across Anthropic-hosted sandboxes, self-hosted environments on customer infrastructure, and other clouds. You'll design and operate the systems underneath that: durable session and event storage, sandbox orchestration, streaming, scheduling, and multi-tenant isolation. Reliability, latency, and cost efficiency are product features here, and you'll own them in production.
Evolve the harness — and prove it with evals.
The harness is the loop that calls Claude, routes tool calls, manages context (caching, compaction, memory), and recovers from errors. Harnesses encode assumptions about what the model can't yet do on its own, and those assumptions go stale as models improve. You'll work alongside research to revisit them with each model generation, build the eval infrastructure that measures harness quality against research baselines and real customer workloads, and hold the bar that lets us say our harness gets the most out of Claude.
Help builders get the most out of Claude.
Our customers — internal and external — are building agents both as products for their users and to transform their own operations. You'll ship the capabilities that raise the ceiling on what those agents can do: outcome-driven execution where developers specify success criteria and a budget and Claude iterates until it gets there, multi-agent orchestration, memory, and the observability and tracing that make long-running agents debuggable. The goal is the highest intelligence per dollar of any agent platform, delivered safely.
Design APIs that outlast their implementations.
Agents, environments, sessions, vaults, and event streams are interfaces thousands of developers build against and that our own products depend on. You'll shape those primitives — versioning, ergonomics across API, SDK, and CLI, sensible defaults, escape hatches — with the expectation that the implementations underneath will change many times while the contracts hold.
You might be a good fit if you:
Have a minimum of 8 years of practical experience as a backend, distributed systems, or infrastructure engineer
Have built and operated stateful, long-running, or high-throughput systems in production — workflow orchestration, streaming, storage, container or job orchestration — and can reason rigorously about durability, consistency, failure modes, and cost
Have strong product sense and treat API design as a craft; you care about the developer on the other side of the interface and can ideate and execute product strategy with cross-functional partners in new domains
Are excited by 0 → 1 work and comfortable navigating ambiguity, and have ideally operated in both early-stage and more mature team or company settings
Use Claude or other AI tools as a core part of how you build software, and have opinions about what makes an agent harness good
Take full ownership of your work — from design through build, deployment, and operations (including on-call), to iterating on and improving what you ship
Care about building systems that other engineers and businesses love to use, and about doing so safel
Strong candidates may also have:
Built or contributed to an agent harness, agent framework, or LLM orchestration layer — tool execution, context management, memory, or multi-agent coordination
Worked on an AI or ML platform (model serving, inference infrastructure, developer tooling) at an AI lab or an AI-native product company, or led adoption of AI-driven development inside an engineering organization
Built evaluation or benchmarking infrastructure for LLM or agent systems
Experience with durable execution or workflow engines, sandboxed code execution, or container runtimes
Shipped public developer platforms, APIs, or SDKs used by external developers at scale
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. 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: San Francisco, CA | New York City, NY
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
The Claude Platform is growing rapidly and serves developers and enterprises at scale. Reaching the next tier of enterprise customers requires transforming how and where we deploy it, as well as the set of features we support out of the box.
The Distribution team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it. This work is split across to major workstreams that are covered in the next section, and we need your help across both.
What you'll do
Claude Platform on the Clouds: You will make the Claude Platform a best in class offering on the Cloud Service Provider’s platform (AWS, GCP, Azure), by bringing our API, control plane and Anthropic features through the provider’s front door. You’ll do cross-cutting work across the clouds and also have the opportunity to go deeper with CSPs on native integrations across a range of deep technical problems at unprecedented scale. You’ll get to collaborate across the company with teams such as Infrastructure, Systems, Networking, Databases, Inference and more.
Enterprise Readiness: You’ll make our platform even more suitable for Enterprise, shipping next gen enterprise enablement features that unblock our next wave of regulated customers or enable our existing ones to scale further. You’ll do so in an Enterprise SaaS context, with a specific focus on enterprise growth, security and compliance, with features ranging from key management & encryption, audit APIs, usage visibility, access control, and international data residency. You’ll also partner closely with core teams across the company, as well as collaborate with CSPs to make these available on our cloud platforms.
You might be a good fit if you:
Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent
Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to adopt by our customers
Own large-scale infrastructure systems and lead ambiguous, cross-team technical projects from design through production and can do so independently.
Have experience with cloud infrastructure (GCP, AWS, or Azure) at scale and/or Enterprise SaaS experience in a multi-tenant context, with background in security, compliance or data residency for regulated or sovereign cloud environments.
Take full ownership of your work—from design through deployment and operations
Are proficient in Python, Go, Rust, or similar systems language
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY or the Bay Area given the current location of team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. 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: San José, Costa Rica; Quito, Ecuador
Workplace: hybrid
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
We are looking for a Client Solutions Manager to strengthen our team in Costa Rica where you will be representing TikTok in the local market. In this role, you will be targeting brands and agencies to get them to adopt TikTok for their online marketing campaigns.
If you’re passionate about digital marketing, have a data driven mindset and have a proven track record in media don’t hesitate to reach out to us.
What you'll do:
Participate in strategic planning to grow or generate new business opportunities.
Act as a consultant for top Key accounts.
Primary POC for client campaign management and timely reporting.
Provide actionable insights on campaign performance (products, budget, creatives vs. KPIs, delivery).
Ensure SLA adherence for excellent client service.
Optimize accounts for increased spend and manage reservation projects.
Drive product/company education and share best practices with clients/agencies.
Collaborate with cross-functional teams on creative ad solutions for business results.
Premium contact for the Sales Team.
Support client/agency education on product solutions to grow business and manage key relationships.
Maximize ROI through optimization and upselling with client reports.
Manage large customer relationships and drive business decisions through conflict resolution.
Provide feedback to product/tools teams for platform scaling.
Organize account information, assets, data, and reports.
Maintain campaign records, schedules, and ad placement availability.
Ensure accurate ad specs/rates; responsible for campaign reporting and optimization.
Skills and Experience Required
At least 4 years of experience in client relationship management and digital media.
Advanced English skills
Bachelor’s degree in Advertising, marketing, business, or tech.
Deep understanding of the digital landscape and a passion for social media.
Experience managing campaigns across digital platforms and ad tech products.
Intimately familiar with online media planning, design, and art control of advertising pieces.
Strong communication and people skills (working directly with clients).
Detail-oriented, with exceptional organizational skills
Aptitude, creativity, and a preference for working in collaborative teams and across business units.
Strong time management and problem-solving skills.
Ability to multi-task under challenging deadlines while still focusing on details
Why Join Us?
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
#ALEPH
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Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоEuropean Union; Ukraine; Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET
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УдалённоseniorRemote, United Kingdom; As an Assigned Support Engineer, you’ll be part of our broader Support Engineering organization, working closely with other Support Engineers through regular pairing sessions, 1:1s, coffee chats, and Slack conversations to stay connected while collaborating asynchronously across time zones
УдалённоseniorRemote, Canada; Remote, United States; As an Assigned Support Engineer, you’ll be part of our broader Support Engineering organization, working closely with other Support Engineers through regular pairing sessions, 1:1s, coffee chats, and Slack conversations to stay connected while collaborating asynchronously across time zones; The base salary range for this role’s listed level is currently for residents of the United States only
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
УдалённоRemote (USA)
ГибридCiudad de México, Mexico
ГибридNew York, NY (HQ); San Francisco, CA; Remote (US); Relocation expense coverage to NYC or SF (if needed)
London, UK
ОфисseniorГеография найма не уточнена
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
Preference will be given to candidates based in NY or the Bay Area given the current location of team
