Job Description
Action1 is transforming endpoint security for modern IT teams. As we continue our evolution from SMB to enterprise, we are hiring a high-performing Account Executive to drive new business across state, local, and education accounts in the United States. This is a quota-carrying, full-cycle role focused on landing and expanding SLED accounts while applying the same disciplined, new-business sales motion we use across mid-market and enterprise organizations. You will engage directly with IT Directors, Security Leaders, Infrastructure teams, procurement stakeholders, and executive decision-makers to position Action1’s patch management and endpoint security platform as a strategic solution.
We’re looking for someone who understands how cybersecurity and IT infrastructure buying works — longer sales cycles, multiple decision-makers, technical validation, security review, procurement navigation, and strong business justification — and who can bring that discipline into public sector and education accounts. This is not a relationship-only SLED role or a reactive RFP position. We need someone who can create pipeline, open doors with IT and security buyers, run strong discovery, manage technical evaluations, and close business in a high-growth, remote-first SaaS environment.
If you’ve successfully sold cybersecurity or adjacent IT solutions into mid-market, enterprise, or public sector accounts and enjoy building a pipeline as much as closing, this role is for you.
Responsibilities
— Drive SLED Revenue Growth: Own a defined U.S. SLED territory and meet or exceed quota targets through disciplined pipeline generation, account planning, and deal execution.
— Manage the Full Sales Cycle: Lead opportunities from prospecting through close — including discovery, stakeholder mapping, value alignment, technical validation, procurement navigation, negotiation, and contract execution.
— Sell to IT & Security Leaders: Engage IT Managers, Directors of Infrastructure, CISOs, CIOs, SysAdmins, security teams, and technical buying committees with credibility and consultative expertise.
— Build & Maintain Strong Pipeline Coverage: Generate pipeline through outbound prospecting, partner collaboration, and strategic account planning. Maintain disciplined forecasting and opportunity hygiene in Salesforce.
— Navigate Complex Buying Processes: Manage multi-threaded sales cycles, security reviews, procurement workflows, public sector buying requirements, and competitive displacement strategies.
— Partner with Solutions Engineers: Collaborate closely with pre-sales/technical resources to ensure strong technical validation and alignment with customer requirements.
— Execute Account Expansion Strategy: Identify upsell and cross-sell opportunities within SLED customers to drive expansion revenue and long-term retention.
— Stay Market-Aware: Maintain a strong understanding of cybersecurity trends, endpoint management, patch management, vulnerability remediation, public-sector IT priorities, and competitive positioning.
— Operate with Ownership: Work independently in a remote-first environment while collaborating cross-functionally with Marketing, Channel, Customer Success, Product, and Sales Leadership.
— Collaborate Cross-Functionally: Partner closely with marketing, product, channel, and sales leadership to incorporate field feedback and refine messaging for public-sector and education accounts.
Requirements
— 3–7+ years of quota-carrying B2B sales experience in SaaS, cybersecurity, IT infrastructure, endpoint management, or adjacent technical solutions.
— Proven success consistently owning deals with a minimum average deal value of $30K.
— Proven success selling into mid-market, enterprise, public sector, education, or other complex buying environments.
— Experience engaging IT buyers, including IT Directors, SysAdmins, Security Leaders, Infrastructure teams, and technical stakeholders.
— Demonstrated ability to generate pipeline and close complex deals.
— Strong forecasting discipline and Salesforce hygiene.
— Experience navigating longer, multi-stakeholder sales cycles, including technical validation, security review, procurement, and legal/commercial negotiation.
— Excellent discovery and consultative selling skills.
— Comfortable in a high-growth, fast-paced startup environment.
— Ability to operate independently in a developing territory and create structure without relying on a fully mature sales motion.
— We are seeking candidates who can start as soon as possible due to business needs.
— SLED, public sector, education, government, or regulated-market sales experience.
— Experience selling cybersecurity, endpoint management, patch management, vulnerability management, EDR, MDR, IAM, IT operations, or infrastructure solutions into public sector or education accounts.
— Familiarity with public sector procurement processes, cooperative purchasing, contract vehicles, RFPs, reseller-led motions, or budget cycles.
Benefits
— A collaborative environment encouraging you to own your domain and implement best practices
— Stable income, benefits, flexible working hours, and opportunities for promotion.
— Friendly and professional peers, eager to help and help you grow.
— A multitude of interesting challenges and opportunities.
Location: San Francisco, CA | 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 are seeking a Director, Technical Accounting – M&A to join our Finance team at Anthropic. In this role, you will support the company's accounting for mergers, acquisitions, strategic investments, and other complex capital transactions. You will report to the Senior Director, Technical Accounting – M&A
As Anthropic continues to scale rapidly and deploy capital into acquisitions, strategic investments, joint ventures, and novel commercial structures, you will be a key technical resource on structuring alternatives, consolidation outcomes, and financial statement impact. You will partner closely with Corporate Development, Legal, Tax, Treasury, FP&A, and leadership to ensure that deal economics are accurately reflected under US GAAP and that positions are defensible to external auditors, valuation specialists, and future regulators.
This is a builder role: you'll help operate and continuously sharpen the controls, valuation governance, and close-ready documentation expected of a large accelerated filer, working alongside the Senior Director as the function takes shape. If you thrive on being in the room when deals are shaped — and then making the accounting land cleanly — we want to hear from you.
In this role, you will:
Execute technical accounting for business combinations, asset acquisitions, joint ventures, and related financing/equity structures
Partner with and influence Corporate Dev to steer deal structures toward preferred terms and outcomes
Perform accounting due diligence on prospective transactions, advising Corporate Development and leadership on GAAP, control, and earnings implications before terms are finalized
Execute end-to-end purchase accounting — acquirer and acquisition-date identification, consideration measurement (contingent consideration, rollover equity, replacement awards), and recognition/measurement of assets, liabilities, and goodwill
Execute post-close integration accounting — conforming accounting policies, system/ledger onboarding, working capital true-ups, earn-out remeasurement, and push-down considerations
Assess and monitor consolidation and investment classification for investees and structured arrangements — VIE/primary-beneficiary analysis, reconsideration events, equity method, measurement alternative, and fair value through earnings — and support impairment and observable-price-change reviews
Manage third-party valuation specialists; review PPA, intangible asset valuations, contingent consideration fair values, and impairment analyses
Author and defend technical accounting policies & memoranda; partner closely with external auditors on M&A, investment, and consolidation matters
Partner with Tax on deal structuring and ASC 740/basis-difference impacts; with Treasury and Legal on equity, SAFE/convertible, and other financing instruments
Help refine the deal-accounting operating model — diligence checklists, Day-1 close playbooks, opening balance sheet procedures, measurement-period tracking, integration workplans, and SOX-ready controls over non-routine transactions
Prepare and review transaction-related disclosures for quarterly and annual filings, including pro forma financial information and significance testing
Present transaction accounting conclusions and financial statement impacts to leadership and cross-functional stakeholders in clear, decision-ready terms
Monitor standard-setting and SEC developments affecting business combinations, consolidation, and investments; support adoption and cross-functional education
You may be a good fit if you:
Have 10+ years of progressive accounting experience, including 4+ years owning complex M&A and strategic investment accounting transactions end-to-end
Hold an active CPA license
Bring significant Big 4 experience — ideally in a National Office, Transaction/Deal Advisory, or Capital Markets/Accounting Advisory group — paired with in-house experience at a high-growth or public technology company
Have contributed to multiple closed acquisitions and minority/strategic investments, including at least one transaction of meaningful scale or complexity
Possess deep command of US GAAP for business combinations, consolidation, equity method, and fair value measurement, with a track record of positions that withstand auditor and regulator scrutiny
Are fluent in valuation concepts and can direct and challenge third-party specialists on PPA, contingent consideration, and impairment models
Have operated within a deal-accounting or investments-accounting function, contributing to playbook and controls design
Communicate effectively with Corporate Development and Legal on structuring trade-offs, translating technical conclusions for cross-functional and senior stakeholders
Demonstrate exceptional written and verbal communication, translating complex deal accounting into clear business implications
Excel at hands-on technical execution in a fast-paced, ambiguous environment, partnering closely with the Senior Director on strategic judgment calls
Are proficient with accounting systems (Workday preferred), consolidation tools, and advanced Excel/modeling
Curious about and quick to adopt new AI tools, including Claude and Claude for Finance
Strong candidates may also:
Have deep, practitioner-level expertise in one or more of the following:
Business combinations and asset acquisitions (ASC 805), including contingent consideration, replacement share-based awards, and step acquisitions
Consolidation and investment classification (ASC 810, 323, 321), including VIE/primary-beneficiary analysis, basis differences, and the measurement alternative
Fair value measurement, acquired financial instruments, and goodwill/intangibles (ASC 820, 815, 825, 350, 360), including impairment testing and IPR&D
Have led accounting for carve-outs, divestitures, spin-offs, or legal-entity rationalizations, including standing up SOX-compliant controls over non-routine/complex transactions
Have prepared or reviewed pro forma financial information and registration-statement disclosures (Article 11 of Regulation S-X, S-X Rule 3-05/1-02(w) significance testing, S-1 processes)
Have experience with novel AI/technology deal structures — acqui-hires, IP/license-heavy transactions, data and compute arrangements, revenue-share partnerships, and strategic investor rights — and are passionate about leveraging AI to accelerate diligence, memo drafting, and close
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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:
$230,000
—
$300,000 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
Code RL at Anthropic drives reinforcement learning efforts behind Claude's coding capabilities, creating and scaling agentic coding environments. This is an engineering role with unusual latitude to set technical direction and standards.
You'll be part of a team solving the engineering side of research efforts such as embedding with research teams, getting up to speed on their systems and needs, and designing the frameworks, APIs, and infrastructure that let researchers move faster, then rotating off, leaving behind well-oiled systems those teams can understand, own, and maintain themselves. Your remit also includes the ongoing health of production RL runs: maintainable, monitored, and straightforward to triage.
The team's problem space spans the client side of sandboxed execution for agentic RL environments, large-scale data processing jobs, the lifecycle of production datasets, and the frameworks researchers build environments on. You won't own all of this yourself, you'll take on the slices where your depth matters most. You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and hard-won intuition for how complex systems fail — especially silently. You should be comfortable diving into messy research code, finding the load-bearing abstractions, and improving them incrementally while researchers continue to build on top of your work.
Key responsibilities
Design widely-used APIs, frameworks, and abstractions that other engineers and researchers build on, with careful attention to interface legibility and principled defaults
Embed with research teams on a rotational basis: understand their engineering needs, build systems and APIs that support their work, and transfer ownership so teams can maintain those systems after you rotate off
Work directly in research codebases, improving reliability and structure without slowing down the research they support
Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that shrink the surface area for bugs
Contribute to the reliability of production RL systems, including monitoring, regression detection, and triage tooling
Help define engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them
Minimum qualifications
Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant Python code
A track record of designing intuitive, safe APIs or frameworks that other engineers or teams adopted and built on
Experience working productively in large, evolving, or research-style codebases that you didn't originally write
Demonstrated ability to anticipate failure modes — especially silent ones — and prevent them structurally through system design, type safety, and testing
Strong written and verbal communication skills, including the ability to explain system designs to collaborators with varied engineering backgrounds
Comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome
Preferred qualifications
Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows
Familiarity with reinforcement learning concepts, agentic systems, or LLM training pipelines
Experience building or operating large-scale distributed systems
Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms
Experience with large-scale data processing or dataset lifecycle management
Experience designing plugin systems or extensible class hierarchies used across an organization
Experience embedding with or consulting for other teams, including successfully handing off systems for others to own
Experience defining code standards, lint rules, or static verification approaches adopted across multiple teams
Prior experience as a technical lead, or setting engineering standards for a team
Prior experience maintaining an open source project
Representative projects
These are examples of the challenges the team tackles; no one person will work on all of them:
Design a base RL environment abstraction general enough to be subclassed across a wide range of environments
Design a model-tool interface for sandboxed agentic environments that has explicit serialization semantics
Partner with the platform teams that own the sandbox runtime to specify low-level features that improve the integrity of agentic coding tasks
Design probes that catch sandbox regressions early
Design the lifecycle and maintenance scheme for a production dataset
Lead a research code refactor replacing loosely structured data containers with equivalents that carry stronger correctness guarantees, without breaking the experiments that depend on them
Design lint rules and code-style requirements that favor statically verifiable patterns — including patterns less likely to be overlooked by an LLM reviewing or writing the code — to shrink the surface area for silent bugs
Build the access layer that lets researchers discover and reuse data artifacts across 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:
$405,000
—
$625,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Environments organization builds and maintains the infrastructure that improves Claude’s capabilities through reinforcement learning. That includes the frameworks researchers use to build environments and the infrastructure responsible for running them. The team's mission is to productionize research. You'll embed with research teams, get up to speed on how they work, and design the frameworks and APIs that let them move faster, building systems the team can understand, own, and maintain themselves. Scope also includes keeping production RL runs healthy, maintainable, monitored, and easy to triage.
You'll be a strong fit if you have deep expertise in Python, a refined sense of taste for API and framework design, and good intuition for how complex systems fail, especially silently. It's a bonus if you've built and operated a stateful distributed system, such as a workflow engine, actor framework, or durable-execution runtime, where correctness depends on getting shared state and recovery right. You should be comfortable diving into messy research code, finding the abstractions that matter, and improving them incrementally while researchers continue to build on your work. You should also be comfortable using AI tools to accelerate your own development, but have an impulse towards deep verification.
Key responsibilities
Design widely used APIs, frameworks, and abstractions that other engineers and researchers build on, making correct usage the default and ruling out entire classes of errors structurally
Own the platform layers that sit beneath every environment, including the agent runtime
Build the tooling that lets environment owners understand, debug, and maintain their environments in production without needing an infrastructure engineer in the loop
Embed with research teams on a rotational basis, work directly in their codebases without slowing down the research they support, and transfer ownership when you rotate off
Anticipate silent failure modes and prevent them structurally through type safety, well-designed invariants, targeted testing, and refactors that reduce the room for correctness issues
Drive adoption of new frameworks across the organization, including deprecations and cutovers
Help define the engineering standards, review practices, and design patterns for a new team, and mentor researchers and engineers in adopting them
Minimum qualifications
Deep expertise in Python, including static typing, safe async and concurrency patterns, and writing performant code
Strong taste in API and framework design, the ability to explain why an interface is right or wrong rather than just recognizing it, and a track record of other engineers or teams adopting and building on frameworks you have built
Experience designing or operating stateful concurrent or distributed systems, and reasoning carefully about failure, retries, idempotency, and consistency
A habit of verification: you measure before you conclude, and you build the checks that let a system show it's correct
Experience working productively in large, evolving, or research-style codebases that you didn't originally write
Strong written and verbal communication with collaborators of varied engineering backgrounds, and comfort with ambiguity: able to scope your own work from a loosely defined problem and drive it to a maintainable outcome
Preferred qualifications
Experience building infrastructure, tooling, or frameworks for machine learning research or RL workflows, and familiarity with agentic systems or LLM training pipelines
Experience building agent frameworks, orchestration engines, or multi-agent systems, including checkpoint and restore, replay, and coordination of long-running stateful processes
Experience using AI coding tools on code where correctness matters, with good judgment about what to delegate and how to make the results verifiable
Experience building client libraries or SDKs on top of sandboxed, containerized, or remote execution platforms
Experience with large-scale data processing, dataset lifecycle management, or data lineage systems
Experience designing serialization schemes, plugin systems, or extensible class hierarchies used across an organization
Experience embedding with or consulting for other teams and handing off systems for others to own, or defining code standards adopted across teams, or prior experience as a technical lead
Representative projects
These are examples of the challenges the team tackles:
Design a base RL environment abstraction that can be subclassed to support the large majority of environments built across RL
Redesign the model-tool interface for sandboxed agentic environments so that state is guaranteed to survive serialization, making it structurally impossible to write a tool that silently loses state
Design the state-sharing and recovery model for multi-agent workloads, so that losing a sandbox partway through a task becomes a transparent resume rather than lost work
Define the failure and retry model for a sandboxed execution platform, distinguishing infrastructure faults from genuine task outcomes so that each is handled correctly
Build the tooling that lets an environment owner diagnose why their environment is unhealthy in a production run, and fix it themselves
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
—
$605,000 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
We're standing up a dedicated executive support function within IT, and we're hiring the IT Support Engineer who will build it. IT Support is the front door for every employee technology need at Anthropic, and this role creates its most visible lane: white-glove support for our executives, their administrative business partners (ABPs), and our board.
You'll define what that service looks like: the support model for execs, board, and ABPs, the runbooks behind it, the intake and escalation paths, and the trusted relationships with ABPs and exec staff that make it work. You'll set the bar for discretion and polish as you go. You'll also be the person our leadership reaches when technology gets in the way. The requests that land in this lane range from routine to highly sensitive, and many arrive urgent: an executive locked out minutes before a meeting, an AV issue in a room full of leadership, a board member who needs setup handled quietly and correctly the first time. You own the request end to end and pull in specialist functions or IT Engineering pods as needed.
Responsibilities
Stand up the executive support intake channels and run it: monitor, respond, and follow through on every request from executives, ABPs, and board members
Define the white-glove service model for discretion-sensitive asks and deliver to it, holding confidentiality under pressure
Design the board-meeting AV support playbook with the AV pod, and provide AV support for executive rooms and board meetings, from setup and pre-checks through live triage
Create exec-support runbooks and SLAs that keep the service consistent as it grows
Build trusted relationships with ABPs and executive staff, and establish clear intake paths so leadership knows exactly where to go
Handle ABP escalations and exec-urgent issues calmly, and route into specialist lanes or IT Engineering pods when a request needs them
Establish the board member device, account, and access setup process with our Onboarding lane
Work the shared ticket queue with the SF Core team: walk-ups, desk-side help, hardware swaps, it-assist overflow, and AV T1 triage
Participate in the Core on-call rotation and contribute to the knowledge base and runbooks
Maintain a regular on-site presence in San Francisco
You may be a good fit if you have
7+ years of experience in IT support and 3+ years in executive support
Experience standing up a service or program from scratch, such as an executive support desk, a VIP support function, or a white-glove service
Experience supporting executives, their assistants, or a board to a white-glove standard
A track record of handling sensitive requests with discretion, and the judgment to know what stays confidential without being told
Strong hands-on IT support fundamentals: macOS-primary fleets, identity and access, SaaS troubleshooting, hardware lifecycle
AV fluency for executive rooms and board meetings: you can set up, verify, and fix a room under time pressure
Composure when an urgent escalation lands, and the judgment to know when to pull in help
High polish and low ego: you take pride in service quality and still pick up whatever the team needs, including the ordinary queue work
A security-first mindset and excellent judgment about when user experience yields to security requirements
Comfort with ambiguity: you can make progress before the process exists, and you enjoy shaping how things should work
The instinct to write things down: runbooks, KB articles, and status updates that keep people informed
Nice to have
Experience supporting a C-suite or board of directors at a company with significant security or compliance requirements
AV depth beyond first response, such as broadcast, live events, or room design input
Experience building runbooks, self-service content, or support automation
Experience supporting AI/ML research environments or highly technical user bases
Deadline to apply: None. Applications will be received on a rolling basis.
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:
$180,000
—
$265,000 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: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
If the idea of contributing to the critical and core services that drive the fundamental functioning and building blocks of data processing involved in our data pipelines, this opportunity fits you well. As an engineer on the core team, you will design, implement, and maintain the central parts of our data pipelines needed to operate the best-in-class reliable, secure, and scalable data movement. You will prioritize the quality, efficiency, and reliability of the responsibility areas of the team while collaborating effectively with other peers and the rest of the engineering organization. The ideal candidate exhibits exceptional technical skills, meticulous attention to detail, creativity, motivation, and a results-oriented mindset.
This is a full-time hybrid position based out of our Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use
Java17, JUnit5
Docker and Kubernetes
AWS, GCP, Azure
SQL, BigQuery
Bazel, BuildKite
What You’ll Do
Design and implement features and performance improvements to create highly scalable distributed data pipelines on the cloud
Develop, maintain, and test code
Conduct design and code reviews
Collaborate with peers, product managers, customer support, and other stakeholders to deliver the best product with high quality, performance, and scalability.
Understand and fix challenges related to performance and scalability.
Participate periodically in on-call rotation
Participate in the hiring process
Mentor Junior developers
Make Fivetran the most reliable and secure component of our customers’ data infrastructure
Skills We’re Looking For
5+ years of experience in the software industry with a passion for solving complex software engineering problems.
Software engineering foundation - experience designing and developing reusable libraries and experimentation platforms for backend and frontend from scratch leveraging industry best practices.
Experience working with distributed systems
Demonstrated ability to write well-structured and performant code
Ability to lead software design to satisfy project requirements
Experience in code reviews, design, troubleshooting and testing
Experience programming in an object oriented / systems language such as Java, C++, C# etc
Hands-on experience working with any cloud technologies(AWS, GCP, Azure) and containerization methodologies like Docker, K8s
Experience interacting with continuous integration tools like Buidkite
Bonus Skills
Knowledge of observability tools like New Relic/Grafana is a plus
Knowledge of AI tools and usage is a plus
#LI-HYBRID #LI-EM1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$174,915
—
$209,906.50 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Oakland, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the role
Fivetran + dbt Labs is hiring a Senior Manager to lead the Product Design team responsible for dbt Labs. This role reports to the Director of Product Design.
This is an exciting time to join! As Fivetran and dbt Labs come together, you will help shape a coherent product experience, guide the design team through change, and influence the future of AI-powered data products. You will join a strong and talented design organization whose members care deeply about their craft, the practitioners they serve, and one another.
This is a people management and product leadership role for a design leader who wants to shape technical data products at scale. You will manage and develop a team of product designers, shape the UX strategy for dbt products, and partner with Product and Engineering leaders to define how data teams build, transform, govern, and trust their data. You will lead through strategy, coaching, direction, and cross-functional partnership.
What you'll do
Lead the dbt product design team
You will manage and coach a team of product designers who work across dbt platform and CLI-based products. Designers own the full design process from problem definition and research to UX/UI and partnering with eng/PM through delivery. You will build a culture where designers feel supported, challenged, and empowered to do thoughtful, high-quality work for deeply technical users. You will set clear expectations, give actionable feedback, support career growth, and create the conditions for strong design craft.
Own UX strategy for dbt
You will define and drive UX strategy across dbt’s product experience. You will identify the highest-impact experience opportunities, connect design priorities to product outcomes, and partner with Product and Engineering leadership as a strategic peer in roadmap and product direction conversations.
Provide design direction for technical data products
You will set direction for design work across complex workflows used by technical practitioners. You do not need to be an engineer, but you do need enough technical fluency to understand the domain, evaluate tradeoffs, and partner credibly with engineering leaders. You should be comfortable discussing data workflows, ELT, analytics engineering, developer tools, and infrastructure-oriented product experiences.
Shape AI and agentic product experiences
You will lead design strategy for AI-powered and agentic experiences within dbt. This requires more than adding AI features to existing workflows. You will help the team design systems that make AI assistance understandable, useful, and safe for high-stakes technical work. As dbt builds experiences where both humans and AI agents interact with the same data infrastructure, you will also think about how product surfaces need to work for both personas.
Help integrate Fivetran and dbt Labs design
You will play an important role in co-creating a unified product experience and design culture. This is a change-leadership role. You will partner with the Director of Product Design to merge systems, processes, and culture. You will help designers navigate a new organizational context, build strong cross-functional relationships, and create clarity during a period of product and company evolution.
Build an AI-native design operating model
You will operationalize AI across the design lifecycle (from research synthesis and ideation to prototyping, documentation, and design QA). You will establish shared workflows, quality standards, and review practices that help the team move faster without compromising product quality or consistency. In partnership with the Director of Product Design and Product and Engineering leadership, you will also define cross-functional standards for when AI-generated work requires design review, ensuring clear expectations for human oversight, quality, and continuous improvement.
What we're looking for
Required experience
You have 8+ years of product design experience and at least 5 years managing product designers.
Strong people management skills, including coaching, performance development, direct feedback, and team culture building.
Strong cross-functional leadership with Product, Engineering, Research, Data, Marketing, and executive stakeholders.
Deep care for craft, with a leadership style focused on direction, critique, strategy, and coaching rather than acting as the primary IC designer.
Designing for, or leading teams that design for, technically complex products such as ELT, data infrastructure, analytics engineering, developer tools, cloud platforms, data governance, observability, or adjacent enterprise infrastructure products.
Designing AI-powered or agentic product experiences. You understand the difference between a lightweight AI feature, a copilot, and an agentic workflow.
Experience operationalizing AI workflows for product design teams that goes way beyond AI prototyping. You have defined how designers use AI across the design lifecycle and have established the workflows, standards, review practices, and quality thresholds needed to make AI-assisted work effective at team scale.
Owning UX strategy for a meaningful product area. You can show how your design strategy influenced product direction, not just how your team delivered screens.
Strong technical fluency. You can reason about complex systems, understand engineering constraints, and discuss tradeoffs with Product and Engineering partners.
Experience designing for expert technical users such as data engineers, analytics engineers, software engineers, platform teams, or security teams.
#LI-DJ1 #LI-Hybrid
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Oakland Pay Range
$201,765
—
$252,206 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
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
As our Cloud Hyperscaler Readiness Lead, you’ll build scalable programs to set our cloud partners (AWS, Google Cloud, and Microsoft Azure) up for success. You will support the global sales teams across our cloud partners with content, training, and programming, working closely with Anthropic’s Product Marketing,Partner Enablement, and Cloud Partnership teams. Your job is to develop and curate the right material on a rapid cadence, and to tailor content for each audience, ensuring that the messages, formats, and channels each cloud uses to upskill their sellers and solutions architects can position and deploy Claude with confidence. You’ll stay close to our GTM teams, using what our co-sellers are hearing in the field to sharpen what you build and how it lands. This role is the connective tissue that helps diverse audiences across all our cloud partners understand not just what Claude does but also why it matters to the customers they serve.
Responsibilities
Land our mission and differentiation.
You'll make sure Anthropic's mission and our approach to safe, responsible frontier AI show up accurately and consistently wherever cloud sellers encounter us, so the case for Anthropic as the enterprise's trusted AI partner is clear. When positioning changes, you'll get the update into the right channels quickly and retire what's out of date.
Ensure internal and external readiness.
You'll shape our certifications and scaled training for the way each cloud learns and upskills its people. You won’t simply rinse-and-repeat known patterns; instead, you’ll shape programs that fit each provider's world and map to how its marketplace and co-sell mechanics actually work. Internally, you'll enable Anthropic’s field team to be aware of products and programs and effectively engage CSP partners.
Connect the field to the content.
You'll pair internal assets with what our GTM team are hearing in customer conversations, and turn that traction into co-sell plays and assets the next hundred sellers can use without anyone from our team in the room.
Measuring Impact.
You'll define the signals that connect this work to partner-sourced pipeline, deal velocity, and seller engagement, watch what's actually changing seller behavior, and adjust based on what you see.
You may be a good fit if you have
A working understanding of how Cloud Service Providers go to market
Deep understanding of what motivates sellers, and how to land a message so it gets retained
A track record of taking a narrative or asset to scale through channels you don't own, and showing what changed because of it
Excellent program management skills, a systems mindset, and comfort operating in ambiguity against a fast launch cadence
Experience pairing marketing and enablement content with field feedback to build plays, assets, and/or repeatable programs for internal and external teams
A background in product marketing, partner or channel marketing, sales enablement, or co-sell program management. (We’re also very happy to hear from you if you come from a non-traditional background!)
The ability to make safety and responsibility a credible, compelling part of a commercial story, and genuine interest in Anthropic's mission
Strong presence in front of an audience, from a live seller call to a room of technical and commercial people at once
The ability to influence people you don't manage, across Anthropic and inside large partner organizations
Willingness to dive in and figure out what needs to be done, often without concrete guidance or a large supporting team
Strong candidates may also have
Experience with marketplace and/or reseller motions
Experience shaping positioning and differentiation for enterprise buyers
Experience launching technical products or platform capabilities through a channel or partner ecosystem
Hands-on familiarity with LLM and AI developer tooling, or a demonstrated ability to get technical quickly in a new domain
Experience using AI in your own day-to-day workflows to extend your scale and reach
Familiarity with LMS and partner portal platforms
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
—
$310,000 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: Guatemala
Workplace: hybrid
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
This is a fast-paced, high-energy, hybrid sales and account management role that combines the commercial ownership of a Client Partner with the day-to-day account stewardship of a Client Success Manager. In addition to meeting and exceeding your revenue targets, you'll help grow Aleph's advertising business by building a focused, well-prioritized book of high-potential accounts.
What you'll do
Drive revenue growth by consistently meeting and exceeding account growth targets.
Own the full client lifecycle solo — from sales conversations and onboarding through ongoing success management.
Take a consultative, solutions-oriented approach with every client.
Lead ideation sessions and translate client goals into actionable campaign solutions; run webinars on platform updates and address common client pain points across your markets.
Execute campaign optimization and analysis using internal tools and dashboards, resolving issues and flagging process improvements along the way.
Cultivate client relationships, identify upsell opportunities, and drive contract completion and renewals across a high volume of accounts.
What you need for this role
BA/BS degree.
3+ years of experience in a quota-carrying commercial role.
Fluency in English and Spanish.
A solid quantitative background.
Exceptional communication and presentation skills, high attention to detail, and a proactive mindset for solving problems independently.
Agile, organized, and methodical work style, effectively balancing priorities across a large account portfolio.
What will make us really love you
You bring genuine sales energy and enthusiasm for growing accounts.
You have an eye for detail
You're passionate about advertising and ad-tech, and stay current on industry trends.
You have real tech curiosity — when a new tool shows up, you adopt it, test it, and work it into your routine.
You think analytically, reading data and pipeline signals to guide your decisions rather than relying on gut feel.
You leverage AI for research, briefs, and next steps, then apply your own judgment to personalize and build the relationship.
Why Join Us?
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
#ALEPH
Location: San José, Costa Rica
Workplace: hybrid
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
This is a fast-paced, high-energy, hybrid sales and account management role that combines the commercial ownership of a Client Partner with the day-to-day account stewardship of a Client Success Manager. In addition to meeting and exceeding your revenue targets, you'll help grow Aleph's advertising business by building a focused, well-prioritized book of high-potential accounts.
What you'll do
Drive revenue growth by consistently meeting and exceeding account growth targets.
Own the full client lifecycle solo — from sales conversations and onboarding through ongoing success management.
Take a consultative, solutions-oriented approach with every client.
Lead ideation sessions and translate client goals into actionable campaign solutions; run webinars on platform updates and address common client pain points across your markets.
Execute campaign optimization and analysis using internal tools and dashboards, resolving issues and flagging process improvements along the way.
Cultivate client relationships, identify upsell opportunities, and drive contract completion and renewals across a high volume of accounts.
What you need for this role
BA/BS degree.
3+ years of experience in a quota-carrying commercial role.
Fluency in English and Spanish.
A solid quantitative background.
Exceptional communication and presentation skills, high attention to detail, and a proactive mindset for solving problems independently.
Agile, organized, and methodical work style, effectively balancing priorities across a large account portfolio.
What will make us really love you
You bring genuine sales energy and enthusiasm for growing accounts.
You have an eye for detail
You're passionate about advertising and ad-tech, and stay current on industry trends.
You have real tech curiosity — when a new tool shows up, you adopt it, test it, and work it into your routine.
You think analytically, reading data and pipeline signals to guide your decisions rather than relying on gut feel.
You leverage AI for research, briefs, and next steps, then apply your own judgment to personalize and build the relationship.
Why Join Us?
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
#ALEPH
Location: Warsaw
Workplace: Hybrid
THE MISSION OF THE PROGRAM MANAGER
Deliver complex Satellite Mission programs end-to-end, ensuring customer success, on-time execution, and scalable delivery excellence - with a specific focus on ESA and EU-funded programmes.
You will ensure the full lifecycle of ESA/EU customer missions—from contract bid through execution and delivery—acting as the central orchestrator across engineering, product, operations, and commercial teams. During the bid phase, you will engage early and support Sales in shaping competitive, compliant proposals; post-award, you will own program delivery against contractual commitments while building strong, trusted relationships with ESA, EU, national space agency counterparts and European partners. This role directly contributes to ICEYE’s ambition to become the leading provider of space-based ISR infrastructure by scaling reliable, high-impact mission delivery globally.
The role will be based in the ICEYE Warsaw facility. Travel to Espoo (Finland) and customer sites is required.
WHO WE ARE
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation.
These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy – day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring, and finance, contributing to global security and community resilience.
ICEYE operates internationally with offices in Finland, Poland, Spain, Portugal, Japan, the UAE, Greece, Germany and the US. The company has more than 900 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation.
EXPECTED OUTCOMES & REQUIREMENTS
OUTCOMES
Programs Delivery (70%)
- Satellite Mission programs are delivered predictably on schedule, within budget, and meeting or exceeding agreed performance and quality targets
- Customers experience consistent, high-trust partnerships, reflected in strong satisfaction, repeat business, and seamless program execution
- Program plans provide clear alignment across internal and external stakeholders, enabling efficient use of resources, financial control, and on-time milestone achievement
- Risks, dependencies, and escalations are proactively mitigated, minimizing disruption and ensuring continuous, reliable delivery
- Cross-functional teams operate in a coordinated, outcome-driven manner, reducing bottlenecks and accelerating mission execution
- Program management practices drive measurable improvements in delivery efficiency, scalability, and predictability across Missions
- Stakeholders at all levels have timely, accurate visibility into program status, enabling informed decision-making and early intervention where needed
Capture & Proposal Support (30%)
- ESA/EU bids and ITT responses are delivered on time, compliant with procurement requirements, and competitively positioned
- Sales receive accurate support in proposal development
- Lessons learned from won and lost bids are systematically captured and fed back into future proposal quality
- Contractual terms negotiated at bid stage (milestone/advance payment plans, IPR treatment, liability) set a sound foundation for delivery
Role-specific competences
- 5–10 years’ experience delivering complex, multi-stakeholder programs in advanced technology environments (e.g. space, defence, telecom, automotive, IT)
- Direct experience with ESA and/or EU-funded programmes, including familiarity with ECSS/PSS standards, and EU procurement or grant agreement frameworks
- Strong customer-facing capability, including managing senior stakeholders (ESA, national agencies, EU bodies, industry partners) and complex requirements
- Expertise in end-to-end program management (planning, execution, governance across scope, schedule, budget, and risk)
- Proven leadership of cross-functional teams to deliver aligned outcomes
- Experience supporting or leading bid/proposal management, including ITT compliance, technical-commercial coordination, and financial planning
- Strong analytical, problem-solving, and decision-making skills in uncertain environments
- Excellent communication skills across technical and non-technical audiences
- Degree in business, engineering, or a related field
- Must have or be able to get EU residence
Desirable
- Experience in Earth Observation (EO), SAR, or remote sensing
- Background in complex systems or product development environments
- Experience working with government or defence customers
- Knowledge of hardware, software, or embedded systems development
- Advanced degree (Master’s) or relevant certifications (e.g. PMP, PgMP)
Application Process
- Initial screening call with Talent Attraction
- Hiring Manager interview with Mission Program Director
- Practical Exercise & Panel Interview
- Final interview with SVP Missions
- References
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.
WHAT WE OFFER AT ICEYE
At ICEYE, you will join a diverse and engaged team united by the ambition to make the impossible possible. We know that without great people we cannot succeed — which is why your growth, wellbeing, and success are a priority.
As a global scale-up, we combine speed and ambition with the opportunity to take real ownership. You will benefit from continuous professional development, training and conference opportunities, and a culture that values collaboration, curiosity, and integrity. ICEYE is a place where your contributions have a visible impact, and where we celebrate success together.
BENEFITS (EU/WARSAW)
- A job that matters in a dynamic Defence Technology and Earth Observation environment with a scale-up approach
- An independent role with a supportive and diverse work environment
- Time for self-development, research, training, conferences, or certification schemes
- Competitive Salary, based on experience
- Yearly benefit budget (wellness, transport, learning, etc.)
- Flexible hybrid working model
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
At ICEYE, we believe that diversity isn't just a buzzword – it's our greatest asset.
We're committed to fostering an inclusive environment where every voice is not only heard but celebrated. We know that diverse perspectives breed innovation and creativity, which is why we actively seek out individuals from all walks of life, backgrounds, and experiences.
Whatever your background, we want you to bring your authentic self to the table. Join us and be part of a team where differences are not only embraced but cherished, because together, we're stronger.
We welcome applications from people of all backgrounds, including those who may need workplace adjustments. If you require any specific accommodations or assistance during the recruitment process for any reason, please let us know.
APPLY NOW
Apply now to start your ICEYE journey and help us make the impossible possible. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Almaty, Kazakhstan
Workplace: onsite
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
Kazakhstan's, Central Asia’s and Caucasus’s digital advertising markets are one of the fastest-growing, and you could be at the very heart of it.
Aleph is looking for a Client Partner to work hand-in-hand with global digital platforms and lead new business growth across Kazakhstan. This isn't just another sales role. It's your chance to shape how the country's biggest brands connect with millions of consumers, build a legacy in a market that's just hitting its stride, and do it all backed by one of the world's most exciting platforms.
If you're ambitious, digitally savvy, and ready to make your mark on the Kazakh advertising landscape then we want to hear from you.
What You’ll Do:
Lead the Market:
Define and execute bold go-to-market strategies that grow our presence across Kazakhstan, Central Asia and Caucasus. You won't be following a playbook, you'll be writing it.
Drive Real Results:
Take full ownership of regional sales targets and consistently exceed them. Your wins directly shape the business.
Build Lasting Partnerships:
Cultivate a high-value portfolio of top agencies and advertisers built on trust, insight, and genuine value, not just transactions.
Expand Your Network:
Strengthen and grow your connections across Kazakhstan's and the CIS advertising and digital ecosystem. Your relationships are your superpower.
Shape Regional Strategy:
Collaborate with Client Partners across the region to develop short- and long-term revenue growth strategies that actually move the needle.
Elevate the Industry:
Host workshops, seminars, and educational events that raise the bar for advertising in Kazakhstan and position us as the go-to partner in the market.
Win as a Team:
Partner with internal teams and stakeholders to maximize product success and deliver an exceptional client experience every time.
What you need for this role:
Proven Sales Experience
: a strong track record in media or digital advertising sales, with real numbers to back it up
Client-First Mindset
: genuine passion for building relationships and a natural ability to earn trust
Analytical Thinking
: you turn data and market insights into sharp, winning strategies
Tech Fluency
: confident with Google Sheets, PowerPoint, and Keynote; Salesforce or CRM experience is a bonus
Deep Local Knowledge
: solid understanding of the Kazakhstan and broader CIS advertising landscape
Business-Level English
: strong written and spoken communication; Russian or Kazakh is a major plus
Industry Connections
: existing relationships with key agencies and advertisers in Kazakhstan give you a real head star
What Will Make Us Really Love You:
You don't just follow trends, you spot them early and help your clients act on them. You're energized by fast-moving environments, take initiative without being asked, and bring creative thinking to every conversation. Most importantly, you're driven by outcomes for your clients, your team, and yourself.
What you'll love about us:
Global Team, Local Impact
: Join a diverse, multicultural team operating across world markets, while making a direct impact right here in Kazakhstan and the CIS.
TikTok, Spotify, Digital Turbine Partnerships:
Be the driving force connecting the world's most influential digital platforms with Kazakhstan's and the CIS region's most iconic brands.
Real Career Growth
: From day one, you'll have access to mentorship, hands-on learning, and the kind of responsibility that accelerates careers.
Freedom to Innovate
: This is an environment where bold ideas are welcomed, ownership is encouraged, and great work gets recognized.
A Market at Its Peak Moment
: Kazakhstan's and the CIS digital ad market is at an inflection point. You'll be here for it and you'll help shape it.
Ready to own Kazakhstan's digital future?
Apply now and let's build something remarkable together.
Why Join Us?
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
#ALEPH
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
We are seeking a hands-on
Director of AI Enablement
to identify high-value business problems, deliver AI solutions in real operational environments, and turn proven approaches into reusable enterprise capabilities.
The role combines the business immersion and problem discovery of a
Deployment Strategist
, the technical delivery capability of a
Forward-Deployed Engineer
, and the product judgment required to standardize successful solutions. You will work directly with teams such as Compliance, Legal, Risk, Customer Service, Operations, and GBS, in partnership with Product, Engineering, Data, Security, and Infrastructure.
Success is measured by business impact and sustained adoption—not the number of pilots launched.
What You’ll Be Doing
1. Find and Prioritize High-Value Problems
Embed with business teams and frontline users to understand their workflows, decisions, data, constraints, and pain points.
Separate root causes from symptoms and determine whether the right answer is process redesign, better data, automation, AI, or a combination of these.
Prioritize opportunities based on business value, user reach, risk, feasibility, time-to-value, and reuse potential.
Translate ambiguous needs into clear problem statements, target outcomes, success metrics, and executable plans.
2. Build and Deliver Solutions
Define the minimum valuable product and rapidly validate it with real users and data.
Personally prototype solutions such as copilots, agents, workflow automations, and internal tools.
For larger or higher-risk initiatives, partner with Engineering and Data teams on architecture, integrations, security, reliability, evaluation, and production readiness.
Own delivery from discovery and prototype through launch, adoption, measurement, iteration, and handover.
3. Drive Adoption and Business Impact
Design solutions with users and adapt workflows based on real operational behavior.
Lead pilots, enablement, training, and change management required for sustained adoption.
Track outcomes such as time saved, cycle-time reduction, quality improvement, risk reduction, cost avoided, and active usage.
Ensure every initiative has a business owner, an adoption plan, and a sustainable operating model.
4. Productize and Scale What Works
Identify recurring workflows, data needs, integrations, and governance requirements across teams.
Convert successful deployments into reusable components, templates, reference architectures, or configurable products.
Decide when a need should remain bespoke, use shared components, or become a standardized product or platform capability.
Build practical playbooks and standards for opportunity assessment, prototyping, evaluation, productionization, and impact measurement.
Feed field learnings into shared Product and Engineering roadmaps, reducing duplicated and one-off solutions.
What We Look For In You
4+ years of experience across product management, technical delivery, solutions engineering, enterprise transformation, consulting, or software/data engineering.
Demonstrated ability to uncover high-value problems through workflow observation, data analysis, and stakeholder engagement.
Hands-on experience building and shipping AI, data, or automation-enabled solutions used in real operational workflows.
Strong product judgment, including prioritization, MVP definition, trade-off decisions, rapid validation, and avoidance of over-engineering.
Sufficient technical depth to prototype independently and work effectively with Engineering on data, integrations, architecture, security, evaluation, and reliability.
Working knowledge of LLMs, RAG, agents, tool use, prompt design, evaluation, observability, and human-in-the-loop systems.
Experience turning bespoke business needs into reusable products, shared services, or operating standards.
Strong communication and stakeholder-management skills across frontline users, technical teams, and senior executives.
High ownership and comfort operating in ambiguous, fast-changing environments.
Nice-To-Haves
Experience in fintech, crypto/blockchain, financial services, or another regulated industry.
Experience working with Compliance, Legal, Risk, Customer Service, Operations, or other non-engineering functions.
Experience with enterprise data platforms, knowledge systems, agent frameworks, workflow orchestration, or MCP-based integrations.
Experience leading an AI enablement function, forward-deployed team, internal product incubator, or multidisciplinary delivery team.
Familiarity with Lark/Feishu and enterprise internal-tooling ecosystems.
Expected Outcomes
Within the first 6–12 months, the successful candidate will be expected to:
Establish a repeatable approach for identifying and prioritizing high-value AI opportunities.
Deliver production use cases with measurable operational impact and sustained adoption.
Create clear ownership and decision paths from prototype to production, scale, handover, or stop.
Turn selected deployments into reusable capabilities adopted by multiple teams.
Build a network of business champions and technical partners capable of scaling AI adoption across the organization.
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Australia; Sydney, New South Wales, Australia
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
About the Opportunity
We are looking for a dedicated and proactive VIP Relationship Manager to join our Australian Strategic Markets team.
As a VIP Relationship Manager, you will play a key role in expanding our base of VIP clients in Australia. This role is focused on high net worth individuals, family offices and smaller corporate clients, driving our growth through partnerships and key client development in parallel to our institutional team, which on the other hand focuses on larger professional, enterprise and institutional clients.
What You’ll Be Doing
Primary goal: maximize revenue in the region through onboarding and retention of VIP clients
Formulate an AUM strategy and revenue optimization based on the product offering of OKX in Australia
Work closely with the local executive leadership team to contribute to the overall strategic direction of the company
Lead our partnership work in Australia through identifying the right partners to work with plus executing any partnership negotiations
Manage relationships with high net worth individuals and key clients in Australia ensuring positive customer experience
Build long lasting client relationships to obtain referrals and new sales channels - origination of new prospective clients
Proactive account management, work with operations to inform clients of potential roadblocks - frozen accounts, EDD etc.
Be a brand ambassador, ensuring customers are fully aware of the OKX value proposition.
What We Look For In You
Bachelor’s degree in Business or a related field (or equivalent years of experience)
Fluency in English and Mandarin
Proven experience in VIP business development within the crypto, private banking, finance or trading industry
Strong analytical skills and ability to interpret market data to drive strategic decisions
Exceptional communication and negotiation abilities
Goal-oriented mindset, with a focus on achieving and exceeding targets
In-depth understanding of financial market dynamics and regulations in the ANZ region
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
OKX Statement:
OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Remote; Denver, CO; New York, NY; San Francisco, CA
Workplace: Remote
We are building AI to simulate the world through merging art and science.
We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.
World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.
Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.
*Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.
ABOUT THE ROLE
Open to hiring remote across North America - NYC, San Francisco, or Denver preferred.
Runway is scaling its Enterprise revenue organization with leaders who know how to build and scale high-performance teams. And, who can operate a revenue machine while keeping customer value in mind - leading our industry-based revenue pods responsible for both net-new ACV, NRR, and Renewal.
This role is designed for the leader who wants to accelerate their CRO career trajectory. Someone who knows how to build and scale teams and leadership excellence from $100M to $500M+ organizations, operate in AI-native fluid environments, and have experience selling-to, expanding, and renewing with client operators from across a variety of ICPs (From operators in Marketing, HR, Operations, and Finance, to technologists in AI, IT Infrastructure, and Security).
Runway is searching for leaders who enjoy the build - hiring top-performing AEs and frontline leaders to grow your teams for scale. You’re a leader-of-leaders who lead hybrid revenue pods of AEs + Engagement managers. We expect you to think like a CRO - every pod is effectively a P&L, expansion is as much your number as new logos, and any customer who signs needs to see value through consumption of the Runway platform.
If you have only ever inherited a running enterprise org, this is not the right fit. If you have built one, we'd like to talk.
WHAT YOU'LL DO
- Build and lead an Enterprise segment of 3-4 frontline sales managers; each with 3-5 revenue pods beneath them with operating Enterprise Account Executives and Engagement Managers in each pod. At scale, this role leads 25 - 40 GTM teammates
- Own the segment's new ACV and NRR targets - both numbers, one owner, reviewed weekly with the CRO
- Engage personally with C-level executives on accounts, building business cases and navigating procurement, security review, legal through to production deployment
- Run the operating rhythm: forecasting to +/-5%, deal inspection, pipeline generation discipline, and account planning across a long-cycle book
- Ensure that each of your leaders engages their revenue pods (AE + Engagement manager) to drive license consumption and value output. The more we invest in our customer’s adoption, the more everyone wins.
WHAT YOU'LL NEED
- 12+ years of enterprise software sales with 5+ years leading enterprise sales organizations with experience as a second-line leader
- A validated record of building - you have grown an enterprise segment past 25 sellers and beaten the number while doing it
- Personal history of closing and sponsoring $250k-$1M+ ACV deals with $1B+ revenue companies
- Experience running consumption or usage-based revenue models, where expansion is earned through customer value
- Fluency with modern AI - you use these tools daily, operate your team with them to drive productivity, you can demo Runway credibly to a CMO or CTO, and you have a defensible point of view on where generative media is going
- Deep understanding of MEDDPICC and Command of the Message to reinforce value-orientation and deal progression with your teams
- A record of exceeding quota year-over-year
STRONG CANDIDATES MAY ALSO HAVE
- Experience selling API and AI infrastructure solutions to CTO / CIOs
- Sold creative, media, or content technology to Fortune 500 marketing and studio organizations
- Built vertical pod or team structures with shared new ACV + NRR%/Renewal ownership
- Scaled a GTM org through the $100M to $500M+ revenue stage
COMPENSATION
OTE $400K - 475K (60/40 base to variable). Offers equity.
Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide.
There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range.
Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates.
WORKING AT RUNWAY
Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you.
We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply.
More about Runway
- Universal World Simulator https://runwayml.com/world-simulator.html
- GWM-1 https://runwayml.com/research/introducing-runway-gwm-1
- Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5
- General World Models https://runwayml.com/research/introducing-general-world-models
- Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section
- Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section
- Runway Studios https://runwayml.com/studios
We're excited to be recognized as a best place to work:
Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024
Location: United Kingdom
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team.
Role Type: Full-time
Location: United Kingdom
About the company
Our client is a fast-growing sales acceleration agency based in the UK, specializing in bespoke B2B and B2C telemarketing, lead generation, and appointment setting. Working as an embedded extension of marketing departments for both high-street brands and emerging businesses, the team focuses on non-scripted, natural engagement to drive authentic growth. They pride themselves on a personalized approach to outreach, converting cold prospects into qualified meetings and tangible business opportunities across various sectors.
Job Summary
This is a high-impact role for a battle-tested cold caller who thrives on high-level B2B engagement. At this company, we don’t do "scripted" telemarketing or "pitch-slapping." We specialize in sophisticated, personalized outreach to Directors of large organizations on behalf of growing brands. We are looking for an independent Appointment Setter who understands the art of the pattern interrupt and can navigate complex conversations to deliver qualified, high-intent meetings. If you are a hunter who takes pride in maintaining a 10/10 standard of English and professional rapport, this is the environment for you to excel.
Key Responsibilities
Execute high-volume outbound cold calling (targeting ~180 dials per day) to identify and engage key decision-makers.
Focus on securing "Sat Qualified" meetings where the prospect joins and meets specific BANT criteria.
Utilize tools like Lusha and ZoomInfo to find and dial direct mobile lines for Director-level contacts.
Employ permission-based openers and pattern interrupts to move past gatekeepers and engage busy executives.
Identify prospect pain points and solve problems rather than reading from a script.
Maintain an average of 1.5 hours of talk time daily while managing multiple client campaigns.
Manage and document all activity accurately within Microsoft Office and relevant CRM tools.
Requirements
A minimum of 3 years of pure B2B cold calling experience with a proven track record of booking sales meetings.
At least 2 years of experience specifically within the telecommunications (mid-market) sector.
Mastery of objection handling and the ability to navigate "Director-level" conversations in large organizations.
Demonstrated ability to use permission-based openers (no "pitch-slapping").
Proficiency in Microsoft Office Suite.
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
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking a strategic Go-To-Market Recruiter specializing in Applied AI to join our GTM recruiting organization. In this role, you'll focus specifically on building and scaling our Applied AI team - the Pre-Sales architects and technical advisors who help large enterprises successfully integrate and deploy Claude. Working within our broader GTM recruiting team, you'll drive full-cycle recruiting for these critical customer-facing technical roles that bridge our cutting-edge AI technology with real-world business applications.
This specialized role requires deep technical recruiting expertise combined with a strong understanding of enterprise SaaS and AI landscapes. You'll collaborate closely with GTM recruiting colleagues while developing targeted strategies for the unique talent needs of our Applied AI organization. You'll help shape how enterprises work with AI systems by building teams that directly influence the safe and beneficial deployment of Claude across industries.
Key responsibilities
Lead end-to-end recruiting for Applied AI team roles, including Solutions Architects, Pre-Sales Engineers, front-line managers and other customer-facing technical positions
Partner with Applied AI leadership and GTM recruiting colleagues to develop comprehensive hiring strategies that align with overall GTM objectives
Execute sophisticated sourcing strategies to identify candidates with rare combinations of technical depth, customer empathy, and business acumen
Create exceptional candidate experiences that showcase Anthropic's mission and the unique opportunity to shape enterprise AI adoption
Build pipelines of talent with expertise in LLMs, cloud architecture, enterprise software integration, and technical consulting
Collaborate with GTM recruiting team members to share best practices, market insights, and cross-functional candidate leads
Leverage Claude and other AI tools to enhance recruiting efficiency while maintaining high-touch, personalized engagement
Provide data-driven insights on compensation trends and talent availability specific to the Applied AI market
Minimum qualifications
Excel at recruiting for customer-facing technical roles that require both deep technical knowledge and exceptional communication skills
Understand the technical requirements of roles working with LLMs, APIs, cloud architectures, and enterprise system integration
Thrive in collaborative environments, working seamlessly with GTM recruiting colleagues while managing specialized searches
Can effectively assess candidates' abilities to translate complex technical concepts for diverse stakeholders
Have a track record of building trusted advisor relationships with technical hiring managers
Are passionate about using AI to transform recruiting practices while maintaining a human-centered approach
Preferred qualifications
Have 5+ years of technical or technical sales recruiting experience, ideally within GTM organizations at enterprise software or AI/ML companies
Direct experience recruiting for pre-sales/solutions engineering roles in the AI/ML space
Demonstrated success working within GTM recruiting organizations during periods of hypergrowth
Expertise in developing specialized recruiting practices within broader team structures
Familiarity with the challenges of deploying AI systems in enterprise environments
Experience collaborating across recruiting teams to share resources and best practices
A technical background or successful track record recruiting for highly specialized technical positions
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:
$175,000
—
$240,000 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
GTM Systems builds and runs the platform that Sales and contracting operate on. These are production systems that process real transactions and produce the data the rest of the company depends on, and the team has grown into a scope where the engineering practices need to grow with it. The platform-developer model got us here. The next stage is a team that operates as software engineers on top of it.
We are hiring a technical lead to build that next stage. You will design and stand up the engineering motions the team runs on, from pull requests and CI/CD through automated UAT, and you will set the technical bar by working alongside the team rather than legislating from the side. Anthropic is also an unusual place to do this work: our own frontier models are part of your toolkit, the team already uses them daily, and a real part of this role is turning that individual usage into a coordinated engineering practice.
Key responsibilities
Lead architecture reviews for GTM systems that process lead-to-cash transactions and generate the data points the organization runs on, including changes originating in other teams that land on our platform
Architect and mature the engineering pipeline the team develops against: pull request workflow, CI/CD, automated UAT, and the deploy path from source control to production
Establish shared AI-assisted development standards for the team, converting existing individual usage into consistent practice that holds up under review
Work with engineering teams outside GTM on shared architectural problems and common tooling, where the right answer is a platform decision rather than a local one
Build and shape the agentic tooling running on top of our platform, and set the pattern other engineers follow when they build the next one
Trace the dependency chain from upstream data and downstream quoting and provisioning systems, and make sure design decisions account for what they break
Partner with the platform developers on the team as engineering practice deepens, expanding what the team can safely ship
Minimum qualifications
Have strong software engineering fundamentals: version control discipline, testing, code review, deployment automation, and a bias toward simple designs
Have built the delivery pipeline for a team, not just worked within one, and can describe the sequencing choices you made
Have led a team through a step change in engineering practice as its scope grew, including what you did when adoption slowed
Work fluently with AI coding tools and agentic development workflows, and have views on how a team should standardize around them
Can run a technical discussion across teams that do not report to you and leave it with a decision rather than a follow-up meeting
Reason about systems you do not own well enough to predict how your changes affect them
Prefer influence through demonstrated work over positional authority
Preferred qualifications
Have worked on business-critical enterprise platforms where financial correctness and auditability mattered
Have experience with Salesforce or comparable enterprise platforms, including their metadata and deployment models
Have built tooling or agents on top of an enterprise system of record
Have operated in a company under audit or compliance constraints
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
—
$405,000 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.
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