Location: Warsaw, Poland; Kraków, Poland; Wrocław, Poland; Budapest, Hungary
Top 3 Reasons To Join Us
Competitive Salary
100% Remote
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You’ll Do
We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is
ready to help transform the industry through technology
. They think in systems, challenge the status quo, and are excited to translate years of operational expertise into
intelligent product features, automation logic, and scalable workflows
.
This person brings
deep health insurance domain knowledge
and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world.
1. Domain Expertise & Product Collaboration
Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight.
Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation.
Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios.
Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic.
2. STP, Automation & Workflow Design
Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design.
Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations.
Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system.
3. Compliance & Risk Embedded in Product
Translate regulatory and policy requirements into system logic and product features.
Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance.
4. Cross-Functional Collaboration & Enablement
Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution.
Contribute to product roadmap discussions and prioritisation from a health insurance perspective.
Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction.
Support GTM, sales, and pre-sales efforts with deep functional expertise when needed.
What We Need
12+ years of experience in the insurance industry
, with strong exposure to end-to-end insurance operations.
At least 5 years of hands-on experience in health insurance
with deep understanding of the full health insurance lifecycle, with domain expertise inside and out.
Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals.
Experience working cross-functionally with product, technology, and business teams in a fast-paced environment.
Hands-on, results-oriented, and passionate about translating domain knowledge into real product features.
Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic.
Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations.
Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike.
Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience.
Nice-to-have (other advantages)
Experience with other lines of business such as life and/or P&C insurance.
Chartered Insurance Institute (CII) Certificate in Insurance or equivalent.
Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus.
Exposure to multiple markets or global health insurance products.
Why You'll Love Working Here
Fully Remote
Flexible Leave
International Environment
Competitive renumeration package
Performance Bonus
Company activities and events
Learning and development plan
Remote work allowance
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
УдалённоWarsaw, Poland; Kraków, Poland; Wrocław, Poland; Budapest, Hungary
Location: Prague, Czechia; Brno, Czechia; Amsterdam, Netherlands; Eindhoven, Netherlands; Utrecht, Netherlands
Top 3 Reasons To Join Us
Competitive Salary
100% Remote
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You’ll Do
We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is
ready to help transform the industry through technology
. They think in systems, challenge the status quo, and are excited to translate years of operational expertise into
intelligent product features, automation logic, and scalable workflows
.
This person brings
deep health insurance domain knowledge
and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world.
1. Domain Expertise & Product Collaboration
Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight.
Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation.
Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios.
Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic.
2. STP, Automation & Workflow Design
Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design.
Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations.
Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system.
3. Compliance & Risk Embedded in Product
Translate regulatory and policy requirements into system logic and product features.
Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance.
4. Cross-Functional Collaboration & Enablement
Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution.
Contribute to product roadmap discussions and prioritisation from a health insurance perspective.
Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction.
Support GTM, sales, and pre-sales efforts with deep functional expertise when needed.
What We Need
12+ years of experience in the insurance industry
, with strong exposure to end-to-end insurance operations.
At least 5 years of hands-on experience in health insurance
with deep understanding of the full health insurance lifecycle, with domain expertise inside and out.
Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals.
Experience working cross-functionally with product, technology, and business teams in a fast-paced environment.
Hands-on, results-oriented, and passionate about translating domain knowledge into real product features.
Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic.
Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations.
Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike.
Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience.
Nice-to-have (other advantages)
Experience with other lines of business such as life and/or P&C insurance.
Chartered Insurance Institute (CII) Certificate in Insurance or equivalent.
Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus.
Exposure to multiple markets or global health insurance products.
Why You'll Love Working Here
Fully Remote
Flexible Leave
International Environment
Competitive renumeration package
Performance Bonus
Company activities and events
Learning and development plan
Remote work allowance
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Lisbon, Portugal; Porto, Portugal; London, United Kingdom; Cambridge, United Kingdom; Manchester, United Kingdom
Top 3 Reasons To Join Us
Competitive Salary
100% Remote
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You’ll Do
We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is
ready to help transform the industry through technology
. They think in systems, challenge the status quo, and are excited to translate years of operational expertise into
intelligent product features, automation logic, and scalable workflows
.
This person brings
deep health insurance domain knowledge
and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world.
1. Domain Expertise & Product Collaboration
Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight.
Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation.
Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios.
Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic.
2. STP, Automation & Workflow Design
Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design.
Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations.
Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system.
3. Compliance & Risk Embedded in Product
Translate regulatory and policy requirements into system logic and product features.
Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance.
4. Cross-Functional Collaboration & Enablement
Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution.
Contribute to product roadmap discussions and prioritisation from a health insurance perspective.
Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction.
Support GTM, sales, and pre-sales efforts with deep functional expertise when needed.
What We Need
12+ years of experience in the insurance industry
, with strong exposure to end-to-end insurance operations.
At least 5 years of hands-on experience in health insurance
with deep understanding of the full health insurance lifecycle, with domain expertise inside and out.
Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals.
Experience working cross-functionally with product, technology, and business teams in a fast-paced environment.
Hands-on, results-oriented, and passionate about translating domain knowledge into real product features.
Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic.
Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations.
Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike.
Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience.
Nice-to-have (other advantages)
Experience with other lines of business such as life and/or P&C insurance.
Chartered Insurance Institute (CII) Certificate in Insurance or equivalent.
Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus.
Exposure to multiple markets or global health insurance products.
Why You'll Love Working Here
Fully Remote
Flexible Leave
International Environment
Competitive renumeration package
Performance Bonus
Company activities and events
Learning and development plan
Remote work allowance
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Brussels, Belgium; Antwerp, Belgium; Munich, Germany; Berlin, Germany
Top 3 Reasons To Join Us
Competitive Salary
100% Remote
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You’ll Do
We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is
ready to help transform the industry through technology
. They think in systems, challenge the status quo, and are excited to translate years of operational expertise into
intelligent product features, automation logic, and scalable workflows
.
This person brings
deep health insurance domain knowledge
and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world.
1. Domain Expertise & Product Collaboration
Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight.
Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation.
Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios.
Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic.
2. STP, Automation & Workflow Design
Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design.
Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations.
Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system.
3. Compliance & Risk Embedded in Product
Translate regulatory and policy requirements into system logic and product features.
Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance.
4. Cross-Functional Collaboration & Enablement
Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution.
Contribute to product roadmap discussions and prioritisation from a health insurance perspective.
Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction.
Support GTM, sales, and pre-sales efforts with deep functional expertise when needed.
What We Need
12+ years of experience in the insurance industry
, with strong exposure to end-to-end insurance operations.
At least 5 years of hands-on experience in health insurance
with deep understanding of the full health insurance lifecycle, with domain expertise inside and out.
Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals.
Experience working cross-functionally with product, technology, and business teams in a fast-paced environment.
Hands-on, results-oriented, and passionate about translating domain knowledge into real product features.
Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic.
Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations.
Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike.
Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience.
Nice-to-have (other advantages)
Experience with other lines of business such as life and/or P&C insurance.
Chartered Insurance Institute (CII) Certificate in Insurance or equivalent.
Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus.
Exposure to multiple markets or global health insurance products.
Why You'll Love Working Here
Fully Remote
Flexible Leave
International Environment
Competitive renumeration package
Performance Bonus
Company activities and events
Learning and development plan
Remote work allowance
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Location: Barcelona, Spain; Madrid, Spain; Málaga, Spain; Milan, Italy; Rome, Italy
Top 3 Reasons To Join Us
Competitive Salary
100% Remote
Working on the latest tech for the Insurtech Market Leader
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world
We are fully funded and backed by reputable VC funds and strategic institutional investors
We have a global presence in Asia, EMEA and the Americas
We’ve grown our annualized revenue by over 30x since January 2021
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world
What You’ll Do
We are seeking a highly experienced Health Insurance Subject Matter Expert (SME) who has lived and breathed insurance operations and is
ready to help transform the industry through technology
. They think in systems, challenge the status quo, and are excited to translate years of operational expertise into
intelligent product features, automation logic, and scalable workflows
.
This person brings
deep health insurance domain knowledge
and the drive to change the industry. This is a hands-on, embedded role working closely with CoverGo's product and engineering teams to ensure what is built is accurate, compliant, and truly reflects how health insurance works in the real world.
1. Domain Expertise & Product Collaboration
Support the product team throughout the feature development lifecycle with deep health insurance expertise and operational insight.
Translate end-to-end health insurance processes — underwriting, policy administration, claims, renewals, billing — into clear product requirements and functional documentation.
Validate and define business rules, decision engines, and workflow logic to ensure all outputs are accurate, compliant, and usable in real-world scenarios.
Participate actively in User Acceptance Testing (UAT) to validate functionality, workflows, and business logic.
2. STP, Automation & Workflow Design
Design for maximum Straight-Through Processing (STP) across product flows — minimising manual intervention through intelligent system design.
Define automation rules, decisioning frameworks, and exception handling flows that reflect real-world insurance operations.
Ensure the product accurately reflects how the business operates, embedding efficiency and scalability directly into the system.
3. Compliance & Risk Embedded in Product
Translate regulatory and policy requirements into system logic and product features.
Conduct market and competitor research to identify feature gaps, best practices, and emerging trends in global health insurance.
4. Cross-Functional Collaboration & Enablement
Act as the bridge between Product, Engineering, and Business teams — translating business needs into product requirements into technical execution.
Contribute to product roadmap discussions and prioritisation from a health insurance perspective.
Engage with internal and external stakeholders, including clients, partners, and insurers, to gather feedback and validate product direction.
Support GTM, sales, and pre-sales efforts with deep functional expertise when needed.
What We Need
12+ years of experience in the insurance industry
, with strong exposure to end-to-end insurance operations.
At least 5 years of hands-on experience in health insurance
with deep understanding of the full health insurance lifecycle, with domain expertise inside and out.
Experience across 2 or more health insurance functions: product setup, underwriting, pricing, policy administration, endorsements, billing, claims, or renewals.
Experience working cross-functionally with product, technology, and business teams in a fast-paced environment.
Hands-on, results-oriented, and passionate about translating domain knowledge into real product features.
Systems thinker with a natural ability to understand how processes connect, where automation can replace manual work, and how rules translate into logic.
Critical, analytical, forward-thinking, and innovative — able to identify gaps others miss and propose solutions, not just observations.
Strong verbal and written communication skills — able to explain complex insurance concepts to technical and non-technical audiences alike.
Demonstrated client-facing capability to handle clients and stakeholders confidently, even without formal sales experience.
Nice-to-have (other advantages)
Experience with other lines of business such as life and/or P&C insurance.
Chartered Insurance Institute (CII) Certificate in Insurance or equivalent.
Technology-savvy — worked on digital transformation initiatives or has exposure to insurance systems. Insurtech experience as SME/Consultant is a strong plus.
Exposure to multiple markets or global health insurance products.
Why You'll Love Working Here
Fully Remote
Flexible Leave
International Environment
Competitive renumeration package
Performance Bonus
Company activities and events
Learning and development plan
Remote work allowance
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
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:
We're hiring several Product Operations Managers to embed within our core product teams. Each will contribute to a key component of our stack. Whether you are ensuring models work within each of our harnesses, prioritizing a great experience across cloud offerings, or building the application layer that keeps users on the frontier, the Product Operations team is an integral part of delivering great products to the world.
Product Operations is the connective tissue between Research, Product, and the market. We shorten the distance between what our models can do and what people get to use. Each of us sits inside one product team as an extension of its leadership, and together we run one shared operating system for how Anthropic ships and learns.
On a given day you might get a launch through its final review, run an early access window, or triaging customer feedback. The rest of the week you build the systems so the team ships and learns faster next time. Our team is small and gets unusual leverage from Claude enabling us to fill gaps across the company and deliver outsized value.
Responsibilities:
1. Ship with confidence
Own launch readiness for your team. Keep our launch calendar the source of truth for what is shipping and when.
Get every major launch through go/no-go: pre-read written, Security, Safeguards, Legal, and Commercial sign-offs recorded, and any accepted risk written down on purpose.
Run early access and beta programs that return signal Product and Research can act on. Define the question before the window opens, give testers the scaffolding to answer it, and close each one with a retro on whether the feedback landed.
Program manage new model launches on your surface: readiness goals set in advance, testing and eval coverage tracked, issues triaged, prompting changes landed, retro run. You won't write the evals. You run the program around them.
2. Close the loop with users
Turn a lot of noise into two clear signals: what users are asking for, ranked by impact and mapped to the roadmap, and which customers or cohorts are blocked, on what, and why it matters.
Plug your team into Anthropic's shared feedback systems rather than building a private one, and improve the shared systems where they fall short.
Make sure the field, Support, and Research hear back about what happened with what they sent.
3. Run the team's operating system
Set the team's pace: planning, business and execution reviews, goal tracking, offsites.
Own how your team works with Legal, Safeguards, Security, GTM, and other product teams so partnering with your team is predictable.
Push reporting overhead toward zero. Reviews and digests should be generated from data that already exists.
Fill the gaps. Every embedded seat carries one or two projects unique to its team, for example managing Monthly Business Reviews and helping track progress between cycles.
4. Build with Claude
Build the tools you need yourself: Claude-powered triage, dashboards that read and write to our systems of record, skills and agents that take the chasing out of the job.
Contribute what you build back to the ProdOps team as reusable patterns (launch checklists, EAP setup, lookbacks, deprecations) so nobody starts from scratch.
You may be a good fit if you have:
Have owned an operational program end to end (launches, early access, feedback, or planning) that a product team relied on to make decisions. You designed it and ran it, not just executed someone else's plan.
Have built a process from zero to one and then simplified it as it scaled. You treat process as a product: it has users, metrics, and a happy path people want to follow.
Have worked embedded with product leadership and can move a team without formal authority.
Build with AI yourself. You have shipped Claude or other LLM-powered workflows, written the prompts, iterated on the outputs, and can describe model behavior with specifics.
Have direct experience managing evals, refining system prompts, and adapting harnesses to new models.
Have direct experience working with Cloud providers in partnership or GTM capacity
Have commitment to safe deployment of AI. Bonus if experience with AI Safety and Safeguards.
Bonus:
Program managed model launches or model quality at an application-layer AI product.
Run early access, beta, or design partner programs.
Product management, technical program management, chief of staff, or strategy and operations experience at a startup or fast-growing product company.
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:
$260,000
—
$325,000 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
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's business metrics change quickly. New models, products and pricing land every few weeks, and each one moves the numbers in ways leadership needs to understand and act on quickly.
The Finance Analytics & Business Intelligence team is hiring a senior individual contributor to own how finance leadership reviews key business metrics. You'll run the weekly company metrics update and forum, explain what is driving revenue and usage across products, customers and models, and turn open-ended business questions into clear, data-driven answers. You'll also build what makes those answers repeatable and scalable: governed metric definitions, executive dashboards, and Claude-powered workflows for recurring analysis. The work is technical, fast-moving and highly visible, and it spans Finance, Product, Go-to-Market, Data Science and Data Engineering.
In this
role,
you will:
Own the weekly company metrics update and forum:
shape the story the numbers tell, evolve the structure and content as fast as the business changes
Define the metrics that matter:
help establish the headline KPIs leadership uses to track the business, and the driver views beneath them.
Surface macro trends:
explain what is driving growth across products, customers, and channels, and flag leading indicators early
Lead deep dives on executive questions:
take a broad question from leadership, put a measurement approach around it, and work with partner teams to deliver a clear, defensible answer
Track performance against plan:
explain where actuals differ from forecast and why it matters
Partner across teams:
work with finance leadership, product and GTM finance and strategy, data science, and data engineering to agree on how we measure the business, so everyone uses the same numbers.
Raise the bar:
land narratives in executive forums and up-level the team’s finance analytics practice by example
You might
be
a good fit if you:
Have run an executive metrics forum:
you've owned a recurring business review for senior leadership, including its structure, content and discussion.
Land narratives with executives:
your analyses have changed business decisions, and you can simplify for senior leaders without losing rigor
Put shape around ambiguity:
you’ve personally defined the measurement approach for questions nobody knew how to answer, without waiting for a fully specified ask
Stay hands-on at senior scope:
you still write the SQL and Python yourself, and you’d rather ship a defensible v1 with honest error bars than wait for perfect data
Are inherently curious:
you go one level deeper than asked and are energized by how fast models, products, and the market are moving
Thrive amid shifting priorities:
you juggle multiple fast-moving work streams and stay effective when the plan changes weekly
Work fluently with modern tooling:
you’re strong at data visualization, use Claude and AI tools as force multipliers in analysis and BI, and can self-serve your own workflows across SQL, Python, dbt, and a cloud warehouse
Strong
candidates
may also have:
Significant experience in finance analytics, business analytics or data science, including direct partnership with senior leadership
Revenue or growth analytics experience at a usage-based business (cloud, API or marketplace)
Ownership of a company or executive business review
Experience designing evals or benchmarks for AI models or products
Fluency in the LLM model and product landscape
Experience with a semantic or metrics layer
Dimensional modeling and warehouse design experience (grain, SCDs, point-in-time correctness)
Cloud platform experience (AWS, GCP) with orchestration, CI/CD for data, and testing/observability
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:
$270,000
—
$345,000 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: New York City, NY; San Francisco, CA
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's Scaled Enterprise team is a high-velocity sales motion built to bring frontier AI to a broad set of enterprise accounts. We're focused on reaching new customers efficiently, turning first conversations into real, expanding partnerships, and building the playbook for how Anthropic shows up at scale.
As a Scaled Enterprise Account Executive, you'll own a book of enterprise accounts and the full revenue outcome for each. You'll generate your own pipeline, run a high-velocity sales cycle from first conversation through close, and develop a clear point of view on where Claude creates value in each account. You'll work closely with Product, Applied AI, and GTM to learn what's working at scale and feed it back into the playbook we're building from the ground up.
This is a role for someone who thrives in hypergrowth, gets energy from breaking into new enterprise accounts, and wants to help build the scaled motion at Anthropic — not inherit one.
Responsibilities
Own all revenue outcomes for a book of enterprise accounts, driving new logo acquisition and early expansion across multiple use cases
Generate the majority of your own pipeline through outbound, creative prospecting, and proactive multithreading into enterprise accounts that have not yet engaged with Anthropic
Run a high-velocity sales cycle from first meeting through close, qualifying quickly, advancing rigorously, and knowing when to walk
Develop a clear point of view on where Claude creates value in each account and bring that POV to technical and business stakeholders alike
Build relationships with directors, VPs, and executive sponsors within your enterprise accounts, earning the right to expand by delivering early wins
Negotiate and close commercial agreements involving technical evaluations, security review, and enterprise procurement
Partner with Product, Applied AI, and Engineering to surface what's working, what's not, and what enterprise buyers need next
Contribute to the playbook, proof points, and motion that this team is building from the ground up
You may be a good fit if you have
3-5+ years selling into enterprise accounts as a full-cycle individual contributor carrying a bag, with a track record of consistently exceeding quota
Experience selling at a hypergrowth company, where the playbook was still being written and you helped write it
A hunter mindset and demonstrated success generating your own enterprise pipeline and breaking into new enterprise accounts
Experience running enterprise sales cycles involving technical evaluations, security review, and procurement
Comfort engaging both technical and business buyers at the director and VP level within enterprise organizations
Background selling platform, API, cloud infrastructure, developer tools, or AI/ML into enterprise
Strong commercial instincts and the ability to qualify quickly and advance rigorously
Genuine interest in AI and strong alignment with Anthropic's mission of developing AI systems that are safe and beneficial
What will make you stand out
Experience at a hypergrowth enterprise infrastructure or developer tools company in its scaling years
Track record as one of the early AEs on a new team, segment, or product where you helped build the motion rather than inherit it
Background in developer tools, API, or AI/ML sales into technical buyers
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:
$290,000
—
$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: Tokyo
Workplace: Hybrid
Role highlights:
- Strategic Account Manager – Insurance and Banking
- Location: Tokyo
- Department: Solutions Line of Business
- Reports to: Head of Re/Insurance, Europe
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
Within ICEYE, the Solutions Team is dedicated to developing and deploying products utilising ICEYE’s unique remote sensing and intelligence capabilities, to support commercial and civil government customers. ICEYE’s natural catastrophe solutions enable customers to respond rapidly, mitigate the impact, and enhance resilience.
As the Strategic Account Manager – Insurance and Banking, you will lead ICEYE’s sales efforts into the insurance and banking sectors across Japan. You will be responsible for sales within the region, including originating new business with new customers, and extending the scope of use of ICEYE solutions within our existing customer base.
This is not a standard sales role; you will contribute to the evolution of the Go-to-Market (GTM) strategy for these sectors in Japan and be the primary driver of ICEYE’s commercial growth in one of our most strategic markets.
Japan will be your core focus and primary revenue responsibility, while you will also support the role of our Japanese business as a strategic hub for broader expansion within Asia. You will collaborate with other teams within the Solutions LoB to help shape our product strategy and service model for this important market.
You will operate at the intersection of ICEYE’s agile, high-growth global culture and the complex, trust-based environment of Japan’s leading enterprises, while selectively contributing to regional growth initiatives across APAC.
Who We Are
ICEYE https://linktr.ee/iceye_global is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1,000 employees across Poland, Spain, Germany, the UK, Australia, Japan, the UAE, Greece, and the US.
We’re a growing international team of builders. Join us.
Your day-to-day responsibilities
Grow ICEYE’s Solutions business in the Japanese insurance and banking markets by originating and closing new contracts with new customers, and extending the scope of use of ICEYE solutions within our existing customer base.
Develop the end-to-end Go-To-Market strategy for Japan, identifying and capturing new market opportunities with ICEYE’s innovative solutions
Contribute to a regional GTM strategy, grounded in structured market intelligence to inform ICEYE’s global commercial strategy, prioritize target accounts, and guide product development and resource allocation
- Take full ownership of a designated strategic anchor account within the Japanese insurance market, with end-to-end responsibility for relationship development, revenue growth, and long-term partnership success. This is a long-standing ICEYE customer and account
- Build and execute account plans that position ICEYE as a mission-critical partner to this anchor client, expanding across business units and use cases
- Grow and develop a multi-year opportunity pipeline (2026–2028), establishing a sustainable foundation for long-term growth and recurring partnerships across the insurance sector
- Establish ICEYE as a recognized leader and trusted partner within the Japanese financial services ecosystem through consistent engagement with insurers, reinsurers, brokers and banks, and through industry events
- Build and nurture long-term, trust-based relationships with C-suite executives and key decision-makers across major Japanese enterprises
- Act as a bridge between ICEYE’s global teams and local customers, aligning expectations and translating business needs into technical and commercial solutions
- Drive collaboration with ICEYE’s Missions, Data, and Solutions teams to identify and close integrated opportunities, ensuring coherent positioning and value creation across product lines
- Support and contribute to GTM strategy and sales execution across APAC, leveraging Japan as a reference market while selectively developing regional opportunities
- Identify opportunities for disaster-resilience and catastrophe-related solutions, leveraging Japan’s unique risk landscape to pilot and scale new SAR-based offerings
- Act as an internal advocate to productize locally developed solutions and integrate them into ICEYE’s global roadmap.
What we’re looking for
Must haves:
- 10+ years of sales experience, preferably within the insurance industry
- Strong experience selling to insurers/reinsurers or banks (ideally both), in Japan
- Proven track record in complex, consultative, and strategic enterprise sales, including ownership of large, strategic accounts
- Deep understanding of the Japanese sales cycle, including trust-based relationship building, consensus-driven decision-making, and long-term account development
- Strong cultural fluency with the ability to operate effectively in high-context Japanese business environments while bridging to a fast-paced, low-context global organization
- Experience working with or within large Japanese corporations, or selling high-value solutions into them
- Existing network within the Japanese P&C insurance ecosystem (insurers, reinsurers, brokers, or industry bodies), ideally similar in the Japanese banking sector
- Experience in geospatial data, analytics, catastrophe modeling, or related solutions is a strong advantage
- Ability to operate with high autonomy—building strategy from the ground up and adapting quickly based on market feedback
- Strong cross-functional leadership skills, with experience working across product, operations, and customer-facing teams
- Fluency in Japanese (native-level, including business etiquette) and English required; additional languages are a plus
Application Process
- Recruiter Interview
- Assessment
- Hiring Manager Interview
- Panel Presentation / Case Study
- VP and CEO Japan Interviews
- References + Offer
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
- Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: New York City, NY; San Francisco, CA
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’s GSI team partners with the world’s largest Global System Integrators and strategy consultancies to deploy frontier AI into the core of how they deliver client work and run their own businesses. These are complex, partner-led organizations where the first engagement is rarely the full opportunity, and where lasting partnerships are built across practice areas and at the executive level.
As an Strategic Account Executive on the GSI team, you’ll own a named book of accounts and the full revenue outcome for each. You’ll develop a point of view on where Claude creates the most value across a firm’s practice areas, advisory services, delivery teams, and internal operations, build relationships with the partners and executives who sponsor transformation at that scale, and expand the partnership well beyond the original buyer. These firms are both customer and future channel — your sell-to motion sets up the sell-with later. You’ll work closely with Product, Applied AI, GTM, and Partnerships leadership to shape how Anthropic shows up across the GSI landscape, while advancing our mission of developing AI that is safe, beneficial, and deployed responsibly.
This is a role for someone who has owned large, complex partner-led accounts end to end and is comfortable operating independently at the executive level.
Responsibilities
Own all revenue outcomes for a named book of GSI accounts, driving both new logo acquisition and multi-practice expansion through complex, multi-quarter sales cycles involving partner-led approval, global procurement, and custom commercial terms
Develop a clear thesis for each priority firm — where Claude creates value across knowledge management, advisory workflows, deliverable generation, and client engagements — and execute a sequenced engagement plan across practices, regions, and stakeholders
Build and independently advance executive relationships with Managing Partners, Practice Leads, MDs, CIOs, CTOs, and Heads of AI/Digital, anchoring every conversation to their strategic priorities: utilization, leverage, realization, and billable productivity
Proactively create demand in unengaged practice areas and regions, using early wins as proof points to open new doors across decentralized, partner-led organizations
Build quantified, firm-specific business cases mapped to the GSI operating model — using their own language and metrics — that shape deals rather than justify them after the fact
Identify and close lighthouse partnerships that become references across the GSI landscape and set up the future sell-with motion
Partner cross-functionally with Product, Applied AI, Engineering, and Partnerships to inform the roadmap based on GSI buyer needs, and contribute to the playbook, proof points, and commercial structures that become the repeatable GSI motion
You may be a good fit if you have
8+ years of enterprise software sales experience with a track record of owning named accounts at large, complex, partner-led organizations (global SIs, strategy consultancies), managing multi-quarter sales cycles through technical evaluations, partner-led approval, and global procurement
Demonstrated ability to independently build and advance relationships at the Partner, MD, and C-suite level — including practice leadership and innovation/digital executives — and hold credible conversations across both technical and business audience
Experience building firm-specific business cases grounded in the firm's own operating metrics (utilization, leverage, realization, margin) and defending commercial terms through complex negotiations
Background selling platform, API, cloud infrastructure, or emerging technology into enterprises evaluating a new category
Genuine interest in AI and strong alignment with Anthropic's mission of responsible AI development
A history of growing accounts meaningfully beyond the original engagement by proactively creating demand across new practice areas, regions, and use cases
What will make you stand out
Direct experience selling into Global SI’s or strategy consultancies, and fluency in how partner-led firms operate and measure success
Experience as an early AE in a vertical or segment, where you helped build the sales motion rather than inherit it
Background selling developer platforms, cloud infrastructure, or AI/ML tooling into traditional partner-led services firms
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:
$380,000
—
$450,000 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 | 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’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via
Claude.ai
, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.
You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.
What you'll do:
Developer Experience:
You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent.
Beneficial Deployments:
Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way.
Vertical AI Products:
Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:
Life Sciences
— an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast.
Enterprise AI Products:
You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are:
Extensibility
— plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.
Context
— enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.
Proactivity
— Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need".
Public Sector:
Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them.
Enterprise Foundations:
You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.
Growth:
Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact.
You might be a good fit if you:
Have a minimum of 6 years of practical full-stack engineering experience
Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack
Are technically proficient in
modern
frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript)
Take a product-focused approach to building solutions that are robust, scalable, and easy to use
Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1
Have successfully driven cross-team alignment to get impactful work shipped, and work with influence over authority
Have experience establishing engineering standards, component architectures, and development best practices
Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products
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 teams.
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:
$320,000
—
$320,000 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 | 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’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via
Claude.ai
, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.
You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.
What you'll do:
Platform Ecosystem:
The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line.
Beneficial Deployments:
Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way.
Vertical AI Products:
Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:
Life Sciences
— an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast.
Enterprise AI Products:
You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are:
Extensibility
— plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.
Context
— enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.
Proactivity
— Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need".
Public Sector:
Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them
Enterprise Foundations:
You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.
Growth:
Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact.
You might be a good fit if you:
Have a minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level
Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack
Are a technical expert in
modern
frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript)
Take a product-focused approach to building solutions that are robust, scalable, and easy to use
Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1
Care deeply in investing in the mentorship and growth of your peers
Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority
Have experience establishing engineering standards, component architectures, and development best practices
Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, NJ, 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: Poland; Colombia; Romania; Brazil; Argentina; Portugal
About Huzzle
At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
About the Company
Our client is an operator-led, AI-powered revenue systems company building next-generation go-to-market (GTM) infrastructure for scaling businesses. They design automation-first revenue engines that transform real-time market signals into predictable pipeline growth.
With a deeply AI-native stack—including workflow automation, LLM-powered systems, and custom-built internal products—they support companies scaling from $1M to $100M+ ARR. Engineering is not a support function here—it is the company’s competitive advantage.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are hiring a
VP of Automation Engineering
to act as the
foundational technical leader and strategic partner to the CEO
. This is a
hands-on executive role
where you will architect and scale automation systems, build internal products, and lead a high-performing engineering team.
You will operate in an
AI-first environment
, where tools like Claude Code are part of daily development workflows—not optional add-ons.
Key Responsibilities
Automation Architecture & Infrastructure
Own and scale end-to-end automation systems using n8n and API integrations
Architect orchestration layers for complex, multi-client environments
Build resilient systems with monitoring, alerting, and self-healing capabilities
Integrate tools like Clay, CRMs, and outbound platforms into a unified infrastructure
Product Development
Build internal and client-facing products using Node.js, TypeScript, and modern frameworks
Own the full product lifecycle—from architecture to deployment
Develop scalable automation products and operational dashboards
Establish engineering standards, CI/CD pipelines, and documentation
AI Systems & Intelligence Layer
Design and deploy production-grade AI/LLM systems (Claude, OpenAI, etc.)
Use Claude Code as a core development accelerator across the team
Build intelligent pipelines for classification, enrichment, and decision-making
Optimize prompt engineering, evaluation systems, and reliability at scale
Leadership & Technical Strategy
Build, manage, and mentor a high-performing engineering team
Define and execute the technical roadmap aligned with company growth
Partner directly with the CEO on product and engineering strategy
Lead sprint planning, prioritization, and delivery execution
Requirements
Non-Negotiable
Deep, production-level experience with
n8n automation systems
Strong full-stack development skills (JavaScript/TypeScript, Node.js, APIs, databases)
Proven experience leading engineers while remaining hands-on
Daily, hands-on use of Claude Code in development workflows
Strong working experience with Clay for data enrichment, signal detection, or GTM automation
Experience building and scaling
AI/LLM systems in production
Strong systems architecture thinking (scalability, reliability, fault tolerance)
Executive-level mindset with the ability to align technical decisions with business outcomes
Preferred Experience
Agency or services background with multi-client automation systems
Experience building
SaaS or productized internal tools
Familiarity with tools like
Airtable, HubSpot, Slack APIs, and outbound infrastructure
Experience with
cloud platforms (AWS, GCP, etc.)
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: Seoul, South Korea
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
Notion is rebuilding its go-to-market motion around a workflow-first, builder-led model—and the BDR is at the front of it. As a Business Development Rep, you'll be the force that turns the right accounts into the right conversations. You'll partner closely with Solutions Consultants to identify and target companies that are ready to rethink how they work—and your job is to get them in the room. This isn't generic pipeline work: you're qualifying for workflow-first, build-ready opportunities that set SCs up to win. If you're competitive, curious, and energized by outbound that actually means something, this is the role for you.
WHAT YOU'LL ACHIEVE
- Generate qualified, workflow-first pipeline by identifying and targeting high-potential accounts in your assigned book, partnering with your sellers on account and outbound strategy
- Run multi-channel outbound campaigns—email, phone, LinkedIn, and events—to create urgency and secure first meetings with the right decision-makers
- Conduct initial qualification to ensure meetings handed to sellers are "ready to build," not just "ready to talk"—validating ICP, intent, and workflow fit before the handoff
- Document and deliver clean handoff packets in Salesforce with ICP signals, pain points, workflow hypothesis, and stakeholder context so sellers can hit the ground running
- Leverage GTM System tooling and intent data to sharpen targeting, prioritize accounts by signal strength, and increase the quality and consistency of your outbound motion
SKILLS YOU'LL NEED TO BRING
- Fluency in Korean and business level in English
- Proven track record in outbound pipeline generation, with hands-on experience in cold prospecting across phone, email, and social channels
- Strong written and verbal communication skills with the ability to craft compelling, persona-specific outreach that earns a response
- Sharp qualification instincts—able to quickly assess ICP fit, identify urgency, and set solutions consultants up for high-quality first conversations
- Passion for AI/ML and understanding of API-first or consumption-based business models
- High-activity mindset with the discipline to prioritize based on signal and data, not just volume
- You don't need to be an AI expert, but you're curious and willing to adopt AI tools to work smarter and deliver better results.
NICE TO HAVES
- Experience with Salesforce, Outreach, or similar GTM tooling
- Familiarity with Notion as a product or prior experience selling productivity, collaboration, or workflow software
- Background in a high-velocity, metric-driven outbound environment with clear pipeline targets
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Hybrid - London, Berlin
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
The Partner team at Vercel is charged with accelerating our growth with partners. As a Partner Lead, EMEA, you will play a pivotal role in helping to establish and grow our partner ecosystem with Technology and Solution partners.
This is a senior individual contributor role for a builder. You will define the strategy, activate priority partners, and generate meaningful partner-sourced and partner-influenced pipeline. You’ll work cross-functionally across Sales, Marketing, Product, and Leadership to establish Vercel as a strategic platform within the EMEA ecosystem.
If you are energized by creating net-new revenue streams, shaping GTM strategy with partners, and turning early-stage relationships into scaled growth engines, this role is for you.
What you'll do
Build and Scale the EMEA Partner Ecosystem
Define and execute Vercel’s regional partner strategy across EMEA-wide Technology and Solution partners.
Identify, recruit, and activate high-impact regional and global partners, including regional GSIs and strategic ISVs at the regional level.
Establish scalable engagement models and joint value propositions that drive measurable pipeline and revenue.
Drive Partner-Sourced & Influenced Revenue
Develop joint GTM plans with partners to generate partner-sourced and partner-influenced pipeline.
Lead co-sell motions, account mapping, and opportunity acceleration in partnership with regional Sales leaders.
Own revenue targets tied to partner performance and ecosystem contribution.
Develop Strategic Relationships
Build executive-level relationships with alliance leaders, practice heads, and GTM stakeholders.
Serve as the primary point of accountability for strategic partner success in EMEA. Align partner objectives with Vercel’s growth priorities.
Solution & Offering Development
Collaborate with Solution partners to package and bring Vercel’s AI Cloud and frontend platform offerings to market.
Identify repeatable use cases, industry plays, and reference architectures that unlock scale.
Provide structured feedback to Product and Marketing based on regional partner and customer insights.
Enablement & Ecosystem Activation
Lead partner enablement initiatives to ensure technical, sales, and marketing readiness.
Equip partners with messaging, positioning, and use-case clarity to successfully sell Vercel.
Represent the EMEA partner voice internally and ensure alignment across teams.
What you need
7+ years in business development, partner management, and/or sales roles at a high-growth tech company.
Proven track record of building partner-sourced pipeline from zero to multi-million-dollar impact.
Strong understanding of frontend technologies, cloud infrastructure, and AI development ecosystems.
Existing EMEA partner network (agencies, GSIs, hyperscalers, technology partners) that you can activate.
Experience driving co-sell motions and working closely with regional sales teams.
Executive presence with the ability to influence senior stakeholders internally and externally.
Highly collaborative, action-oriented, and motivated by exceeding ambitious growth targets.
Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The London salary range for this role is £135,000 - £165,000 plus annual bonus. Actual salary will be based on job-related skills, experience, and location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
Notion is rebuilding its go-to-market motion around a workflow-first, builder-led model—and the BDR is at the front of it. As a Business Development Rep, you'll be the force that turns the right accounts into the right conversations. You'll partner closely with Solutions Consultants to identify and target companies that are ready to rethink how they work—and your job is to get them in the room. This isn't generic pipeline work: you're qualifying for workflow-first, build-ready opportunities that set SCs up to win. If you're competitive, curious, and energized by outbound that actually means something, this is the role for you.
WHAT YOU'LL ACHIEVE
- Generate qualified, workflow-first pipeline by identifying and targeting high-potential accounts in your assigned book, partnering with your sellers on account and outbound strategy
- Run multi-channel outbound campaigns—email, phone, LinkedIn, and events—to create urgency and secure first meetings with the right decision-makers
- Conduct initial qualification to ensure meetings handed to sellers are "ready to build," not just "ready to talk"—validating ICP, intent, and workflow fit before the handoff
- Document and deliver clean handoff packets in Salesforce with ICP signals, pain points, workflow hypothesis, and stakeholder context so sellers can hit the ground running
- Leverage GTM System tooling and intent data to sharpen targeting, prioritize accounts by signal strength, and increase the quality and consistency of your outbound motion
SKILLS YOU'LL NEED TO BRING
- Proven track record in outbound pipeline generation, with hands-on experience in cold prospecting across phone, email, and social channels
- Strong written and verbal communication skills with the ability to craft compelling, persona-specific outreach that earns a response
- Sharp qualification instincts—able to quickly assess ICP fit, identify urgency, and set solutions condsultants up for high-quality first conversations
- Passion for AI/ML and understanding of API-first or consumption-based business models
- High-activity mindset with the discipline to prioritize based on signal and data, not just volume
- You don't need to be an AI expert, but you're curious and willing to adopt AI tools to work smarter and deliver better results.
NICE TO HAVES
- Experience with Salesforce, Outreach, or similar GTM tooling
- Familiarity with Notion as a product or prior experience selling productivity, collaboration, or workflow software
- Background in a high-velocity, metric-driven outbound environment with clear pipeline targets
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For this role, based in New York City, the estimated hourly rate is $33.65 - $38.70 per hour with a 30k annual commission target, annualized to salary range of $100,000 - $115,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: South Africa; Mexico; Colombia; Argentina; Costa Rica; Honduras
About Huzzle
At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
Locations: LATAM, South Africa
About the Company
Our client is an operator-led B2B outbound revenue partner helping post-seed to Series B SaaS companies build predictable pipeline. They deliver a managed outbound system that combines real-time buying signal detection, precision campaign building, high-converting messaging, and CRM-driven performance optimization. Built by experienced revenue leaders rather than traditional agency operators, the business is focused on pipeline predictability, conversion efficiency, and scalable growth. The company is currently in startup mode with strong traction, a growing client base, and a high-performance team environment.
Job Summary
We are hiring a remote Sales Development Representative for a fast-growing B2B SaaS-focused outbound revenue business. This is an excellent opportunity for someone who thrives in a startup environment, enjoys outbound prospecting, and wants to help build a high-growth revenue engine from the ground up.
The ideal candidate has experience in outbound sales, lead generation, and multichannel prospecting, with a strong understanding of how to book qualified meetings and contribute to pipeline growth. Agency experience is highly preferred, and familiarity with GTM engineering, automation, and modern outbound workflows is a major advantage.
Key Responsibilities
Execute outbound prospecting campaigns across email, LinkedIn, and other relevant channels
Identify and engage qualified prospects within target SaaS accounts
Personalize outreach using relevant buying signals and account research
Book qualified meetings for the sales team and support pipeline generation goals
Maintain accurate records of activity, contacts, and pipeline progression in CRM systems
Collaborate with leadership on messaging, targeting, and campaign optimization
Track performance metrics including reply rates, meetings booked, and show rates
Support sequence testing and outbound iteration to improve campaign performance
Work closely with internal stakeholders in a fast-paced, startup-style environment
Requirements
3+ years of experience as an SDR, BDR, or outbound sales professional
Native fluency in English
Strong track record in cold outreach, lead generation, and meeting booking
Familiarity with
HubSpot
and
Airtable
Strong written communication and prospecting skills
Comfortable working in a high-accountability, fast-growth environment
Ability to manage outbound volume while maintaining personalization and quality
Highly organized, proactive, and results-driven
Prior
agency experience
Experience supporting
SaaS, go-to-market, or revenue services businesses
Familiarity with
Clay
or broader
GTM
engineering workflows
Automation experience and strong interest in AI-enabled outbound systems
Understanding of sequence performance metrics, attribution, and outbound optimization
Grit, curiosity, and a builder mindset
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
Notion is rebuilding its go-to-market motion around a workflow-first, builder-led model—and the BDR is at the front of it. As a Business Development Rep, you'll be the force that turns the right accounts into the right conversations. You'll partner closely with Solutions Consultants to identify and target companies that are ready to rethink how they work—and your job is to get them in the room. This isn't generic pipeline work: you're qualifying for workflow-first, build-ready opportunities that set SCs up to win. If you're competitive, curious, and energized by outbound that actually means something, this is the role for you.
WHAT YOU'LL ACHIEVE
- Generate qualified, workflow-first pipeline by identifying and targeting high-potential accounts in your assigned book, partnering with your sellers on account and outbound strategy
- Run multi-channel outbound campaigns—email, phone, LinkedIn, and events—to create urgency and secure first meetings with the right decision-makers
- Conduct initial qualification to ensure meetings handed to sellers are "ready to build," not just "ready to talk"—validating ICP, intent, and workflow fit before the handoff
- Document and deliver clean handoff packets in Salesforce with ICP signals, pain points, workflow hypothesis, and stakeholder context so sellers can hit the ground running
- Leverage GTM System tooling and intent data to sharpen targeting, prioritize accounts by signal strength, and increase the quality and consistency of your outbound motion
SKILLS YOU'LL NEED TO BRING
- Proven track record in outbound pipeline generation, with hands-on experience in cold prospecting across phone, email, and social channels
- Strong written and verbal communication skills with the ability to craft compelling, persona-specific outreach that earns a response
- Sharp qualification instincts—able to quickly assess ICP fit, identify urgency, and set solutions condsultants up for high-quality first conversations
- Passion for AI/ML and understanding of API-first or consumption-based business models
- High-activity mindset with the discipline to prioritize based on signal and data, not just volume
- You don't need to be an AI expert, but you're curious and willing to adopt AI tools to work smarter and deliver better results.
NICE TO HAVES
- Experience with Salesforce, Outreach, or similar GTM tooling
- Familiarity with Notion as a product or prior experience selling productivity, collaboration, or workflow software
- Background in a high-velocity, metric-driven outbound environment with clear pipeline targets
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For this role, based in San Francisco the estimated hourly rate is $33.65 - $38.70 per hour with a 30k annual commission target, annualized to salary range of $100,000 - $115,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74. #LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.