Location: Espoo
Workplace: OnSite
- Title: Mechanical Manufacturing Engineer
- Location: Espoo, Finland
- Department: Engineering Manufacturing & QA
- Reports to: Manufacturing & QA Team Lead
- Employment type: Permanent
- Workplace model: Office
- Employment is subject to applicable security screening (incl. SUPO)
WHY THIS ROLE MATTERS:
As a Manufacturing Engineer – Mechanical, you’ll bridge design and production by ensuring mechanical hardware is manufacturable, high-quality, and delivered on time, enabling rapid iteration and reliable scaling of ICEYE’s satellite systems.
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 including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Review and improve mechanical design releases for manufacturability, including tolerances, GD&T, materials, and assembly requirements
- Ensure manufacturing documentation packages are complete, accurate, and production-ready
- Act as the technical interface with suppliers, managing manufacturing execution, quality, and documentation
- Track prototype builds, schedules, and priorities to ensure on-time delivery across multiple projects
- Lead nonconformance handling, root-cause analysis, and corrective and preventive actions
- Verify incoming prototypes and coordinate rework, fixes, and rebuilds as needed
- Maintain accurate part data in PLM and ERP systems, including BOMs, revisions, and traceability
- Contribute to process improvements, supplier onboarding, and development of prototyping capabilities
WHAT WE’RE LOOKING FOR
MUST HAVES:
- Bachelor’s or Master’s degree in Mechanical or Aerospace Engineering or equivalent
- Experience in mechanical parts manufacturing in aerospace or other high-reliability industries
- Practical knowledge of MCAD and CAM tools
- Understanding of manufacturing techniques, standards, and testing methods for mechanical components
- Ability to interpret engineering drawings and assembly documentation
- Experience working with external suppliers and managing technical interfaces
- Strong organizational, documentation, and problem-solving skills
- Strong communication skills in English and ability to work in cross-functional teams
NICE TO HAVES:
- Experience with PLM or ERP systems for configuration and lifecycle management
- Experience supporting prototype builds and NPI processes
- Experience in satellite or space hardware manufacturing environments
APPLICATION PROCESS
- Recruiter Interview
- Hiring Manager Interview
- Technical Assignment
- Stakeholder Interview
- Director Interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help.
Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: 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.
About the Opportunity
You will be joining a team at the intersection of strategic execution and executive operations. This hybrid role combines program management ownership with high-touch executive support, working closely with senior leadership to drive critical initiatives and ensure seamless day-to-day operations.
What You’ll Be Doing
Prepare the CEO for key meetings:
Develop concise briefings and coordinate pre-read materials covering the purpose, background, key discussion points, relevant data and decisions required. Identify missing information and obtain clarification before meetings.
Manage strategic meetings end-to-end:
Coordinate agendas, participants, meeting sequencing and material submission deadlines. Consolidate presentations and review them for clarity, completeness, consistent messaging, formatting and obvious discrepancies before circulation.
Drive post-meeting follow-through:
Prepare accurate meeting notes and decision records; translate agreed outcomes into specific actions with accountable owners, deliverables and deadlines. Maintain an action tracker, follow up regularly and escalate delays or unresolved issues.
Track the CEO’s priority projects:
Work across functions to monitor milestones, dependencies and delivery commitments. Provide concise progress updates highlighting risks, blockers and matters requiring leadership intervention.
Filter and synthesise information:
Distil reports, feedback and requests into clear sk lummaries of what the CEO needs to decide or know. Prioritise by urgency and business impact, highlighting the decision required, available options and relevant context.
Coordinate external engagements:
Manage invitations, responses and preparation for engagements with business partners, regulators, media, investors and industry conferences. Conduct preliminary reviews of interview briefs, publicity materials and correspondence, coordinating review and approval by the relevant functions before release.
Deliver proactive executive support:
Manage the CEO’s calendar, travel, meeting logistics and expenses, aligning time allocation with priorities and anticipating scheduling conflicts and preparation needs.
Improve CEO office workflows:
Establish practical systems for briefing preparation, information management, project tracking and follow-up. Use approved AI and automation tools to improve efficiency while protecting confidential information and verifying outputs.
What We Look For In You
Demonstrated experience supporting senior executives and coordinating complex meetings or cross-functional initiatives in a fast-paced, international environment.
Strong business judgement and prioritisation skills, with the ability to distinguish routine coordination from matters requiring the CEO’s attention.
Excellent written communication and information synthesis skills; able to turn complex or fragmented inputs into concise, accurate briefings.
Strong execution discipline, with a track record of translating decisions into actions, tracking commitments and escalating issues early.
Confidence working with senior stakeholders, obtaining timely inputs and challenging incomplete or inconsistent information professionally.
Exceptional discretion and care when handling sensitive executive, employee, customer and external stakeholder matters.
Strong analytical skills and attention to detail, including the ability to interpret key data and identify gaps or inconsistencies.
An AI-forward working style, using approved tools responsibly and critically reviewing outputs before use.
Bachelor’s degree or equivalent relevant experience.
Proficiency in Mandarin to communicate effectively with internal stakeholders across the region.
Ability to travel up to 30% of the time for leadership meetings and regional site visits.
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: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role:
We're hiring several Product Operations Managers to embed within our core product teams. Each will contribute to a key component of our stack. Whether you are ensuring models work within each of our harnesses, prioritizing a great experience across cloud offerings, or building the application layer that keeps users on the frontier, the Product Operations team is an integral part of delivering great products to the world.
Product Operations is the connective tissue between Research, Product, and the market. We shorten the distance between what our models can do and what people get to use. Each of us sits inside one product team as an extension of its leadership, and together we run one shared operating system for how Anthropic ships and learns.
On a given day you might get a launch through its final review, run an early access window, or triaging customer feedback. The rest of the week you build the systems so the team ships and learns faster next time. Our team is small and gets unusual leverage from Claude enabling us to fill gaps across the company and deliver outsized value.
Responsibilities:
1. Ship with confidence
Own launch readiness for your team. Keep our launch calendar the source of truth for what is shipping and when.
Get every major launch through go/no-go: pre-read written, Security, Safeguards, Legal, and Commercial sign-offs recorded, and any accepted risk written down on purpose.
Run early access and beta programs that return signal Product and Research can act on. Define the question before the window opens, give testers the scaffolding to answer it, and close each one with a retro on whether the feedback landed.
Program manage new model launches on your surface: readiness goals set in advance, testing and eval coverage tracked, issues triaged, prompting changes landed, retro run. You won't write the evals. You run the program around them.
2. Close the loop with users
Turn a lot of noise into two clear signals: what users are asking for, ranked by impact and mapped to the roadmap, and which customers or cohorts are blocked, on what, and why it matters.
Plug your team into Anthropic's shared feedback systems rather than building a private one, and improve the shared systems where they fall short.
Make sure the field, Support, and Research hear back about what happened with what they sent.
3. Run the team's operating system
Set the team's pace: planning, business and execution reviews, goal tracking, offsites.
Own how your team works with Legal, Safeguards, Security, GTM, and other product teams so partnering with your team is predictable.
Push reporting overhead toward zero. Reviews and digests should be generated from data that already exists.
Fill the gaps. Every embedded seat carries one or two projects unique to its team, for example managing Monthly Business Reviews and helping track progress between cycles.
4. Build with Claude
Build the tools you need yourself: Claude-powered triage, dashboards that read and write to our systems of record, skills and agents that take the chasing out of the job.
Contribute what you build back to the ProdOps team as reusable patterns (launch checklists, EAP setup, lookbacks, deprecations) so nobody starts from scratch.
You may be a good fit if you have:
Have owned an operational program end to end (launches, early access, feedback, or planning) that a product team relied on to make decisions. You designed it and ran it, not just executed someone else's plan.
Have built a process from zero to one and then simplified it as it scaled. You treat process as a product: it has users, metrics, and a happy path people want to follow.
Have worked embedded with product leadership and can move a team without formal authority.
Build with AI yourself. You have shipped Claude or other LLM-powered workflows, written the prompts, iterated on the outputs, and can describe model behavior with specifics.
Have direct experience managing evals, refining system prompts, and adapting harnesses to new models.
Have direct experience working with Cloud providers in partnership or GTM capacity
Have commitment to safe deployment of AI. Bonus if experience with AI Safety and Safeguards.
Bonus:
Program managed model launches or model quality at an application-layer AI product.
Run early access, beta, or design partner programs.
Product management, technical program management, chief of staff, or strategy and operations experience at a startup or fast-growing product company.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$260,000
—
$325,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Anthropic's business metrics change quickly. New models, products and pricing land every few weeks, and each one moves the numbers in ways leadership needs to understand and act on quickly.
The Finance Analytics & Business Intelligence team is hiring a senior individual contributor to own how finance leadership reviews key business metrics. You'll run the weekly company metrics update and forum, explain what is driving revenue and usage across products, customers and models, and turn open-ended business questions into clear, data-driven answers. You'll also build what makes those answers repeatable and scalable: governed metric definitions, executive dashboards, and Claude-powered workflows for recurring analysis. The work is technical, fast-moving and highly visible, and it spans Finance, Product, Go-to-Market, Data Science and Data Engineering.
In this
role,
you will:
Own the weekly company metrics update and forum:
shape the story the numbers tell, evolve the structure and content as fast as the business changes
Define the metrics that matter:
help establish the headline KPIs leadership uses to track the business, and the driver views beneath them.
Surface macro trends:
explain what is driving growth across products, customers, and channels, and flag leading indicators early
Lead deep dives on executive questions:
take a broad question from leadership, put a measurement approach around it, and work with partner teams to deliver a clear, defensible answer
Track performance against plan:
explain where actuals differ from forecast and why it matters
Partner across teams:
work with finance leadership, product and GTM finance and strategy, data science, and data engineering to agree on how we measure the business, so everyone uses the same numbers.
Raise the bar:
land narratives in executive forums and up-level the team’s finance analytics practice by example
You might
be
a good fit if you:
Have run an executive metrics forum:
you've owned a recurring business review for senior leadership, including its structure, content and discussion.
Land narratives with executives:
your analyses have changed business decisions, and you can simplify for senior leaders without losing rigor
Put shape around ambiguity:
you’ve personally defined the measurement approach for questions nobody knew how to answer, without waiting for a fully specified ask
Stay hands-on at senior scope:
you still write the SQL and Python yourself, and you’d rather ship a defensible v1 with honest error bars than wait for perfect data
Are inherently curious:
you go one level deeper than asked and are energized by how fast models, products, and the market are moving
Thrive amid shifting priorities:
you juggle multiple fast-moving work streams and stay effective when the plan changes weekly
Work fluently with modern tooling:
you’re strong at data visualization, use Claude and AI tools as force multipliers in analysis and BI, and can self-serve your own workflows across SQL, Python, dbt, and a cloud warehouse
Strong
candidates
may also have:
Significant experience in finance analytics, business analytics or data science, including direct partnership with senior leadership
Revenue or growth analytics experience at a usage-based business (cloud, API or marketplace)
Ownership of a company or executive business review
Experience designing evals or benchmarks for AI models or products
Fluency in the LLM model and product landscape
Experience with a semantic or metrics layer
Dimensional modeling and warehouse design experience (grain, SCDs, point-in-time correctness)
Cloud platform experience (AWS, GCP) with orchestration, CI/CD for data, and testing/observability
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$270,000
—
$345,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, NY; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Scaled Enterprise team is a high-velocity sales motion built to bring frontier AI to a broad set of enterprise accounts. We're focused on reaching new customers efficiently, turning first conversations into real, expanding partnerships, and building the playbook for how Anthropic shows up at scale.
As a Scaled Enterprise Account Executive, you'll own a book of enterprise accounts and the full revenue outcome for each. You'll generate your own pipeline, run a high-velocity sales cycle from first conversation through close, and develop a clear point of view on where Claude creates value in each account. You'll work closely with Product, Applied AI, and GTM to learn what's working at scale and feed it back into the playbook we're building from the ground up.
This is a role for someone who thrives in hypergrowth, gets energy from breaking into new enterprise accounts, and wants to help build the scaled motion at Anthropic — not inherit one.
Responsibilities
Own all revenue outcomes for a book of enterprise accounts, driving new logo acquisition and early expansion across multiple use cases
Generate the majority of your own pipeline through outbound, creative prospecting, and proactive multithreading into enterprise accounts that have not yet engaged with Anthropic
Run a high-velocity sales cycle from first meeting through close, qualifying quickly, advancing rigorously, and knowing when to walk
Develop a clear point of view on where Claude creates value in each account and bring that POV to technical and business stakeholders alike
Build relationships with directors, VPs, and executive sponsors within your enterprise accounts, earning the right to expand by delivering early wins
Negotiate and close commercial agreements involving technical evaluations, security review, and enterprise procurement
Partner with Product, Applied AI, and Engineering to surface what's working, what's not, and what enterprise buyers need next
Contribute to the playbook, proof points, and motion that this team is building from the ground up
You may be a good fit if you have
3-5+ years selling into enterprise accounts as a full-cycle individual contributor carrying a bag, with a track record of consistently exceeding quota
Experience selling at a hypergrowth company, where the playbook was still being written and you helped write it
A hunter mindset and demonstrated success generating your own enterprise pipeline and breaking into new enterprise accounts
Experience running enterprise sales cycles involving technical evaluations, security review, and procurement
Comfort engaging both technical and business buyers at the director and VP level within enterprise organizations
Background selling platform, API, cloud infrastructure, developer tools, or AI/ML into enterprise
Strong commercial instincts and the ability to qualify quickly and advance rigorously
Genuine interest in AI and strong alignment with Anthropic's mission of developing AI systems that are safe and beneficial
What will make you stand out
Experience at a hypergrowth enterprise infrastructure or developer tools company in its scaling years
Track record as one of the early AEs on a new team, segment, or product where you helped build the motion rather than inherit it
Background in developer tools, API, or AI/ML sales into technical buyers
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote Oregon; Remote Washington; Remote California; Remote Idaho; Remote Nevada
Workplace: Remote
InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com http://www.influxdata.com.
We are looking for a stellar Director of Finance to join our team! Reporting directly to the CFO, you will own the FP&A function and play an important role in shaping the company’s financial strategy. This is a high-impact position for a strategic thinker who is not afraid to "roll up their sleeves." You will be the bridge between financial data and executive strategy, ensuring our plans and investments are both strategic and sustainable.
WHAT YOU'LL BE DOING
- Financial Planning: Lead the annual budgeting and rolling forecast processes, delivering clear, data-driven insights to the CFO and the Board. Drive predictability, accountability, and strategic alignment across the organization;
- Business Partnership: Serve as a trusted advisor to the leadership team. You won't just report numbers; you'll provide the "why" behind them to influence business decisions;
- FinOps & Cloud Infrastructure: Serve as the financial lead for cloud spend, partnering with Engineering and Cloud Operations to analyze cost drivers, drive optimization initiatives, manage cloud vendor contracts, and secure optimal commercial terms to improve gross margin;
- Revenue Operations: Serve as a key partner to Sales on deal strategy and governance, guiding pricing and negotiations, approving deals, and optimizing for revenue quality and margin. Collaborate with Sales Leadership to design incentive-aligned compensation plans, review quotas, and drive insights on sales productivity;
- Business Intelligence & KPIs: Develop and maintain sophisticated dashboards tracking core business KPIs and performance metrics, driving clarity on unit economics and operational efficiency;
- AI & Finance Analytics: Leverage AI and advanced analytics to improve forecasting, automate workflows, and drive scalable, insight-driven finance operations;
- Executive Support: Support the CFO in high-stakes projects, including Board materials, executive QBR presentations, investor reporting and vendor contract management.
WHAT WE’RE LOOKING FOR
- Bachelor’s degree in Finance, Accounting, or Business. An MBA or CFA is preferred;
- 15+ years of progressive experience in FP&A and Finance Operations within both private and public company settings;
- Strong working knowledge of AWS, GCP, or Azure pricing models and services, with a clear understanding of how infrastructure and architecture decisions impact COGS and margins;
- Highly detail-oriented with a track record of building accurate, scalable financial models and ensuring data integrity across complex datasets;
- Experience applying AI-driven insights and advanced analytics to streamline financial planning, reporting, and data analysis processes, improving efficiency and decision-making;
- A proven ability to "think big" regarding strategy while "diving deep" into the granular details of a dynamic, fast-paced environment;
- Superior interpersonal skills with the ability to translate complex financial data into actionable narratives for non-finance stakeholders, with a proven track record of partnering effectively with Sales teams.
Applications will be accepted on a rolling basis.
Interview Information:
Our interview process begins remotely. Interviews are typically conducted via Zoom. To ensure every candidate can participate, please let us know if you are unable to access Zoom. Some roles may require an in-person meeting with a team member as part of the final stage.
We offer fantastic benefits for full time employees; in the US these include:
- Medical/dental/vision insurance with 100% coverage for employees
- Company contribution to your FSA
- Flexible Time Off - take the time you need
- Life Insurance, short and long term disability insurance
- 401(k)
- Wellness programs
- Annual professional development budget
- Financial planning and legal advice
Our Core Values
Our employees are the heart of the company and only by having a core set of beliefs and values will we be successful. We hire and live by these core values:
- We value each other
- We get stuff done
- We believe humility drives learning
- We embrace failure
- We are committed to open source
Visit our careers page https://www.influxdata.com/careers/ to learn more about working at InfluxData.
InfluxData is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other categories protected by applicable law.
To view our Know Your Rights Poster click HERE https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf
To view our CCPA policies click HERE https://www.influxdata.com/wp-content/uploads/November-2023-InfluxData-Candidate-Privacy-Notice.pdf
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this website to apply for a vacancy as a result of your disability. You can request reasonable accommodations by reaching out to the recruiting team by emailing apply@influxdata.com.
InfluxData does not accept unsolicited resumes from headhunters and recruitment agencies through our website, job board or directly to employees. InfluxData will not pay fees to any third-party agency, headhunter or company that does not have a signed agreement for this position in place.
Beware of job scams and fraudulent offers! Our recruiters use @influxdata.com http://influxdata.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank accounts or social security numbers. If you have been contacted by someone claiming to be from InfluxData from a different domain about a job offer, please report it as potential job fraud to law enforcement and to jobs@influxdata.com.
Location: London, UK; Ontario, CAN; Remote-Friendly, United States; 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.
Anthropic Fellows Program overview
The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience.
Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on an empirical project aligned with our research priorities, with the goal of producing a
public output
(e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers. We run multiple cohorts of Fellows each year and review applications on a rolling basis.
Apply at the bottom of this page. We are accepting applications on a rolling basis for the next cohort expected to start in January 2027. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the January 2027 start date doesn't work for you.
What to expect
4 months of full-time research
Direct mentorship from Anthropic researchers
Access to a shared workspace
Connection to the broader AI safety and security research community
Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country)
Funding for compute (~$15k/month) and other research expenses
Interview process
The interview process will include an initial application, assessments, and interviews. We may ask for references later in the process as well.
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.
Compensation
The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension).
ML Systems & Performance Fellows
Mentors, research areas, & past projects
Fellows will undergo a project selection & mentor matching process. Potential mentors include:
Alwin Peng
Zygi Straznickas
Note: You may research mentors' prior work, but all applications must go through the official form, not the mentors.
For a past example of an engineering-heavy project, see:
AI agents find $4.6M in blockchain smart contract exploits
Projects in this workstream may include:
Building a CPU simulator for accelerator workloads
Adding backends for different accelerators on an open source project
Building on demand infrastructure for other infrastructure heavy fellows projects
Building complex synthetic data or environment pipelines
Unique candidate criteria
You might be a particularly great fit for this workstream if you:
Have strong software engineering skills with experience building complex ML systems
Can balance research exploration with engineering rigor and operational reliability
Enjoy collaborating across research and engineering disciplines
Are comfortable working with large-scale distributed systems and high-performance computing (e.g. in trading)
Have experience with training, fine-tuning, or evaluating large language models
Are adept at analyzing and debugging model training processes
You may be a good fit if you
Are motivated by making sure AI is safe and beneficial for society as a whole
Are excited to transition into empirical AI research and would be interested in a full-time role at Anthropic
Have a strong technical background in computer science, mathematics, or physics
Thrive in fast-paced, collaborative environments
Can implement ideas quickly and communicate clearly
Candidates must be
Fluent in Python programming
Available to work full-time on the Fellows program
Reinforcement Learning Fellows
Mentors, research areas, & past projects
Fellows will undergo a project selection & mentor matching process. Potential research areas and mentors include:
Ruhua Jiang
Kaidi Cao
Sunny Duan
David Brandfonbrener
Colt Steele
Dino Distefano
Will Williams
Projects in this workstream may include:
Building model-based tools to better understand AI training data and improve training data quality
A research project to better understand generalization
Creating RL environments to improve Claude models at capabilities that are within your domain of expertise
Building RL environments for safety-related tasks
Conducting research and implementing solutions in areas such as RL algorithms
Unique candidate criteria
You might be a particularly great fit for this workstream if you:
Have strong software engineering skills with experience building complex ML systems
Can balance research exploration with engineering rigor and operational reliability
Enjoy collaborating across research and engineering disciplines
Are comfortable working with large-scale distributed systems and high-performance computing
Have experience with training, fine-tuning, or evaluating large language models
Are adept at analyzing and debugging model training processes
Logistics
Logistics Requirements:
To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program.
Workspace Locations:
We have designated shared workspaces in SF.
We are also open to remote fellows in the UK, US, or Canada
.
Visa Sponsorship:
We are
not
currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada.
Program Duration:
The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis.
Please note:
We do not guarantee that we will make any full-time offers to fellows. However, strong performance during the program may indicate that a Fellow would be a good fit for full-time roles at Anthropic. In previous cohorts, 25-50% of fellows received a full-time offer, and we’ve supported many more to go on to do great work on AI safety and security at other organizations.
The below are Anthropic's policies for full time roles. These do
NOT
apply to the Fellows Program.
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: Mexico
re you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds….
ClinChoice is searching for a
Regulatory Affairs Associate Consultant
for 12 months Contract with possibility of extension
to join one of our clients.
ClinChoice is a global full-service CRO with a strong focus on quality, professional development, and supportive culture. As a client-facing role, we are looking for confident candidates with the ability to work independently whilst establishing a high-trust environment with the client’s counterparts.
Regulatory Affairs Jr.
Specialist Consultant / Especialista Jr. de Asuntos Regulatorios
Location / Ubicación:
Ciudad de México, México
Position Summary / Resumen del puesto:
Support the preparation, review and follow-up of regulatory submissions for medical devices, ensuring compliance with applicable regulations before health authorities such as COFEPRIS, enabling timely approvals and maintenance of product registrations.
Apoyar en la preparación, revisión y seguimiento de trámites regulatorios para dispositivos médicos, asegurando el cumplimiento de la normativa aplicable ante la autoridad sanitaria COFEPRIS, facilitando la obtención y mantenimiento de los registros sanitarios.
Key responsabilities / Responsabilidades principales:
Prepare and compile regulatory documentation for COFEPRIS submissions (registrations, renewals, changes).
Follow up on submissions with regulatory authority (COFEPRIS).
Support interpretation of local and international regulations.
Support coordination of requests and activities with cross-functional teams.
Maintain updated regulatory files and databases.
Preparar y compilar documentación regulatoria para sometimientos ante COFEPRIS (registros, renovaciones, modificaciones).
Dar seguimiento a los trámites ante autoridad regulatoria (COFEPRIS).
Apoyar en la interpretación de normativas locales e internacionales.
Apoyar la coordinación de solicitudes y actividades con áreas internas.
Mantener actualizados archivos regulatorios y bases de datos.
Qualifications / Requisitos:
Bachelor’s degree in Chemistry, Pharmaceutical Chemistry, Pharmacy, Biomedical Engineering, Biotechnology, or related field.
Licenciatura en Química, QFB, QFI, QBP, Farmacia, Ingeniería Biomédica, Biotecnología o afín.
Experience / Experiencia:
Minimum 1 year of experience in regulatory affairs, quality or medical device industry.
Technical skills / Conocimientos técnicos:
Mexican medical device regulations (COFEPRIS).
Medical device classification.
NOMs and standards aplicable.
Intermediate-advanced English (technical reading required).
Intermediate Excel skills (data tracking, pivot tables, basic formulas, reporting).
Core competencies / competencias clave:
Attention to detail.
Organizational and documentation skills.
Effective communication.
Team collaboration
Learning Agility.
Location: New York City, NY; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic’s GSI team partners with the world’s largest Global System Integrators and strategy consultancies to deploy frontier AI into the core of how they deliver client work and run their own businesses. These are complex, partner-led organizations where the first engagement is rarely the full opportunity, and where lasting partnerships are built across practice areas and at the executive level.
As an Strategic Account Executive on the GSI team, you’ll own a named book of accounts and the full revenue outcome for each. You’ll develop a point of view on where Claude creates the most value across a firm’s practice areas, advisory services, delivery teams, and internal operations, build relationships with the partners and executives who sponsor transformation at that scale, and expand the partnership well beyond the original buyer. These firms are both customer and future channel — your sell-to motion sets up the sell-with later. You’ll work closely with Product, Applied AI, GTM, and Partnerships leadership to shape how Anthropic shows up across the GSI landscape, while advancing our mission of developing AI that is safe, beneficial, and deployed responsibly.
This is a role for someone who has owned large, complex partner-led accounts end to end and is comfortable operating independently at the executive level.
Responsibilities
Own all revenue outcomes for a named book of GSI accounts, driving both new logo acquisition and multi-practice expansion through complex, multi-quarter sales cycles involving partner-led approval, global procurement, and custom commercial terms
Develop a clear thesis for each priority firm — where Claude creates value across knowledge management, advisory workflows, deliverable generation, and client engagements — and execute a sequenced engagement plan across practices, regions, and stakeholders
Build and independently advance executive relationships with Managing Partners, Practice Leads, MDs, CIOs, CTOs, and Heads of AI/Digital, anchoring every conversation to their strategic priorities: utilization, leverage, realization, and billable productivity
Proactively create demand in unengaged practice areas and regions, using early wins as proof points to open new doors across decentralized, partner-led organizations
Build quantified, firm-specific business cases mapped to the GSI operating model — using their own language and metrics — that shape deals rather than justify them after the fact
Identify and close lighthouse partnerships that become references across the GSI landscape and set up the future sell-with motion
Partner cross-functionally with Product, Applied AI, Engineering, and Partnerships to inform the roadmap based on GSI buyer needs, and contribute to the playbook, proof points, and commercial structures that become the repeatable GSI motion
You may be a good fit if you have
8+ years of enterprise software sales experience with a track record of owning named accounts at large, complex, partner-led organizations (global SIs, strategy consultancies), managing multi-quarter sales cycles through technical evaluations, partner-led approval, and global procurement
Demonstrated ability to independently build and advance relationships at the Partner, MD, and C-suite level — including practice leadership and innovation/digital executives — and hold credible conversations across both technical and business audience
Experience building firm-specific business cases grounded in the firm's own operating metrics (utilization, leverage, realization, margin) and defending commercial terms through complex negotiations
Background selling platform, API, cloud infrastructure, or emerging technology into enterprises evaluating a new category
Genuine interest in AI and strong alignment with Anthropic's mission of responsible AI development
A history of growing accounts meaningfully beyond the original engagement by proactively creating demand across new practice areas, regions, and use cases
What will make you stand out
Direct experience selling into Global SI’s or strategy consultancies, and fluency in how partner-led firms operate and measure success
Experience as an early AE in a vertical or segment, where you helped build the sales motion rather than inherit it
Background selling developer platforms, cloud infrastructure, or AI/ML tooling into traditional partner-led services firms
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$380,000
—
$450,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Ta' Xbiex, Malta
Neo Group
is a Malta-based startup offering
B2B
services in Marketing, Tech, Data Analytics, Customer Support, HR, and Compliance. Established in 2024, it is built on over 15 years of veteran experience in multiple industries, including the iGaming industry. Despite our startup spirit, our team brings a wealth of expertise gained through years of collaboration with industry leaders. With a
network
of 1,400 talented professionals across 10+ countries, we are committed to delivering innovative, data-driven solutions that empower our clients and foster professional growth within a dynamic and collaborative workplace.
Role Overview
Unlock your full potential as a VIP Account Manager. In this unique B2B role, you will act as a dedicated ambassador for a major client, taking ownership of their French-speaking VIP portfolio. You won't just be managing accounts; you will be driving our client's retention strategy and connecting their regional growth goals with our tailored operational support. If you are highly motivated, customer-centric, and passionate about delivering premium experiences on behalf of industry-leading brands, we would love to hear from you!
What you will be doing
Relationship Management:
Build and maintain strong relationships with our client's VIP customers, providing exceptional service and support that reflects the client's brand standards.
Proactive Engagement:
Proactively engage with the client's VIP base to understand their individual needs, preferences, and gameplay goals.
Personalized Offerings:
Provide tailored recommendations and bespoke offers to the client's VIPs to maximize their satisfaction and long-term brand loyalty.
Primary Point of Contact:
Act as the main liaison for the client's French-speaking VIPs, promptly addressing inquiries and resolving any platform or account issues they may face.
Cross-Functional Collaboration:
Collaborate with internal cross-functional teams to seamlessly deliver elite VIP experiences, including event invitations, special promotions, and custom rewards for the client's users.
Behavioral Analysis:
Monitor and analyze our client's VIP customer activity and behavior to identify operational opportunities for engagement and retention.
Strategic Development:
Work closely with the VIP team and client stakeholders to develop, align, and execute strategies for VIP customer acquisition and retention within the French-speaking portfolio.
Market Nuance & Trends:
Stay up-to-date with industry trends and best practices in VIP account management to ensure our client remains highly competitive.
The duties and responsibilities described in this job description are not a comprehensive list and as such additional tasks may be assigned to the employee from time to time; The scope of the job may also be subject to change as necessitated by business demand.
Requirements
Fluent in both French and English, both written and spoken
Previous experience in VIP account management or a similar customer-facing role
Strong relationship-building and communication skills
Customer-centric mindset with a passion for delivering exceptional service
Excellent problem-solving and conflict resolution skills
Ability to multitask and work efficiently in a fast-paced environment
Strong analytical skills, with the ability to interpret data and drive insights
Experience in the iGaming or related industry is a plus
Benefits
Being part of Neo Group means more than just a job. It's about being a part of a vibrant community with over 40 nationalities across 10 global locations. As we embrace a thrilling phase of hyper-growth and scale-up, our success is fueled by the diversity and talent of our team—potentially including you!
Explore Neo Group Further:
For more details about life and careers at Neo Group, visit our
Career Website
connect with us on
Instagram
, and engage with us on
LinkedIn
.
Ready to redefine the future of iGaming with us? Apply today and become a part of something truly spectacular!
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via
Claude.ai
, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.
You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.
What you'll do:
Developer Experience:
You'll build the products and tools - console, SDKs, docs, and observability - that give developers the confidence to rely on Claude in their most critical applications. Our mission is to meet developers where they are and bring them closer to the ceiling of what's possible with our models and API. That means building trust through great platform fundamentals, inspiring developers to raise the bar in how they use Claude's capabilities, and accelerating the path to agentic development by designing for both human and AI developers. You'll work closely with teams across the Platform org to turn Claude's newest capabilities into experiences developers can actually pick up and run with - from first prompt to production agent.
Beneficial Deployments:
Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way.
Vertical AI Products:
Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:
Life Sciences
— an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast.
Enterprise AI Products:
You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are:
Extensibility
— plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.
Context
— enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.
Proactivity
— Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need".
Public Sector:
Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them.
Enterprise Foundations:
You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.
Growth:
Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact.
You might be a good fit if you:
Have a minimum of 6 years of practical full-stack engineering experience
Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack
Are technically proficient in
modern
frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript)
Take a product-focused approach to building solutions that are robust, scalable, and easy to use
Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1
Have successfully driven cross-team alignment to get impactful work shipped, and work with influence over authority
Have experience establishing engineering standards, component architectures, and development best practices
Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of teams.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic’s Product Engineering org is looking for experienced engineers with strong full-stack fundamentals to join one of teams owning our current or emergent products. You'll be a technical leader who thinks holistically about the consumer and/or enterprise end user experience - be that via
Claude.ai
, the Anthropic API, enterprise deployments, Claude Code, or mission-driven applications - and carry real end-to-end ownership.
You'll partner with engineering managers, product leaders, designers, and researchers to understand new model capabilities and redefine what is possible for users in the world of LLMs - and how to build it. We’ll look to you to have a product-oriented mindset and input, own technical quality across the stack (performance, accessibility, reliability, and developer experience), scale your efforts to millions of users on a global scale, and carry genuine excitement about what AI makes possible.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.
What you'll do:
Platform Ecosystem:
The Ecosystem team is empowering the next big industries beyond coding to build on our platform & creating the right commercial rails to let any business in our ecosystem profit from building on Claude. As an early member of this foundational effort, you'd identify and build for the next 10x markets starting with Life Sciences and Healthcare. We also build the commercial rails and controls that let the platform do business anywhere, with anyone, and turn Claude from a cost line into a revenue line.
Beneficial Deployments:
Beneficial Deployments Engineering brings Claude to organizations doing the most good with the fewest resources — nonprofits, schools, healthcare providers, researchers, and economic mobility programs.We're looking for a full-stack engineer to build the access programs, tooling, and product work that make frontier AI usable for teams that couldn't afford this capacity any other way.
Vertical AI Products:
Purpose-built experiences for specific industries where Claude can transform complex professional work. We're currently building for three verticals, with more to come:
Life Sciences
— an agentic research platform for scientists: specialist agents for computational biology, literature review, and regulatory review, built on model capabilities we're investing in for biology and chemistry. Live with early customers and expanding fast.
Enterprise AI Products:
You'll work on the products that make Claude a daily-use tool for enterprise customers across industries – the connective tissue that lets Claude operate effectively across workflows. On this team you will systematically understand why Enterprise users aren't activating, what's blocking adoption, and building the capabilities to close those gaps.Some of our focuses are:
Extensibility
— plugins, skills, connectors, and the MCP ecosystem that lets a company shape Claude around their specific workflows and distribute that work across teams.
Context
— enterprise knowledge, organizational memory, and the retrieval layer that makes Claude genuinely aware of a company's people, documents, and workflows. A connected, contextual Claude is the difference between a general-purpose chatbot and a real coworker.
Proactivity
— Cowork suggestions, workflow capture, ambient Claude inside the apps people already use. Moving from "Claude answers when asked" to "Claude notices what you need".
Public Sector:
Build products that deliver Claude to the U.S. federal & state governments and allied democracies — from FedRAMP environments to classified networks. We're a startup-minded team with huge surface area: we own Claude for Government, ship zero-to-one products into the most regulated environments in the world, and work directly with the agencies using them
Enterprise Foundations:
You'll build the systems large organizations require before they can adopt Claude at scale: identity and permissions, security and compliance controls, and the admin analytics that let them see how it's being used. This is the work that turns "we love the demo" into a signed enterprise deal.The role is part product, part platform. You'll work closely with Product and GTM to understand what our largest customers need, then build it once in a way that works across Claude.ai, Claude Code, and Cowork.
Growth:
Drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact.
You might be a good fit if you:
Have a minimum of 8 years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level
Have led the design and delivery of complex, consumer or B2B user-facing products across the full stack
Are a technical expert in
modern
frontend and backend development, with demonstrated depth in key languages and frameworks (ie. React, Typescript)
Take a product-focused approach to building solutions that are robust, scalable, and easy to use
Have worked in early start-up or otherwise fast moving, rapidly evolving environments, and have ideally built products from 0 to 1
Care deeply in investing in the mentorship and growth of your peers
Have successfully driven cross-team/cross-org organizational alignment to get impactful work shipped, and work with influence over authority
Have experience establishing engineering standards, component architectures, and development best practices
Thrive in fast-paced environments and can navigate ambiguity to deliver high-quality products
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, NJ, SEA, SF or the Bay Area given the current location of team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
We are looking for experienced software engineers to join our Platform organization. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale - either internally or by hundreds of thousands of external global users and companies at all stages.
You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.
We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential.
What you'll do:
Service Infra:
we build and maintain the core infrastructure that powers Anthropic's engineering organization, from service mesh and observability systems to deployment pipelines and shared libraries. Our work enables product teams to build and operate reliable services at scale, making us a critical force multiplier across the entire company.
Platform Portability:
We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers. We focus on cloud-agnostic tooling, cross-cloud networking, and multi-region deployments.
Platform Intelligence:
You'll build and scale the foundation of the Claude API—the systems that deliver Claude's intelligence to every developer, from startups to enterprise. You'll own the performance, reliability, and efficiency of our core serving path, ensuring users get the most speed and value from our models. You'll partner closely with inference and safeguards to optimize the full stack.
Billing Platform:
Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships:
Claude.ai
, the Developer Platform, Claude Code, and whatever comes next. The faster we can price it and account for it correctly, the faster Anthropic can fund the mission. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business.
Platform Serving:
You'll focus on transforming Claude into a true knowledge worker by ensuring the model has access to and understanding of the right knowledge at the right time. You'll work on making it possible for developers to securely give Claude access to their data while automatically processing and retrieving relevant information. You'll partner directly with research to bring state-of-the-art retrieval advancements to developers.
Agentic Systems:
You'll build the infrastructure and APIs that let developers create powerful agentic applications on the Claude API — including Claude Managed Agents, our managed platform for deploying and running agents in production. Your work spans the primitives agent developers depend on: tool use, multi-step reasoning, durable sessions and environments, and long-running task execution that lets Claude take actions and accomplish complex goals on a user's behalf. You'll make this platform ready for the largest enterprises to adopt, and partner with research to bring cutting-edge agent capabilities into production.
Auth & Identity:
We build and maintain the critical infrastructure and control interfaces that power identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience.
Platform Safety:
We're building the identity and verification product layer that enables safe model launches as Claude's capabilities expand. This critical effort partners with Safeguards, Auth & Identity, Policy, and Product teams across API,
Claude.ai
, and third-party platforms as customers, creating the systems for KYC/KYB, trust grant issuance and inheritance, and end-user verification that flow across every Anthropic surface. We sit at the intersection of trust, compliance, and product velocity, delivering the verification primitives that let Anthropic ship advanced model capabilities to the right users at massive scale.
You might be a good fit if you:
Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent
distributed systems, cloud-native products, developer tools, or external developer facing products
Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end
Are proficient in Python, Go, Rust, or similar systems languages
Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking
Take full ownership of your work—from design through deployment and operations
Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings
Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use
Care about building systems that other engineers love to use
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Espoo
Workplace: Hybrid
- Title:: Technical Release Manager
- Department: Platform & Release Engineering
- Location: Espoo, Finland
- Reports to: Release Engineering Lead
- Employment type: Permanent
- Workplace model: On-site/Hybrid
- Employment is subject to applicable security screening (incl. SUPO)
WHY THIS ROLE MATTERS:
The Technical Release Manager owns the end-to-end execution of releases in practice. This role ensures that releases are correctly prepared, executed, validated, and closed across engineering, product, and delivery teams.
The Technical Release Manager is hands-on during release windows, acts as the primary operational contact, and ensures that what was planned is what actually runs in production. This role does not design release tooling or strategy but uses those systems to drive safe and predictable releases
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 including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
KEY DUTIES
(Coordinate → Prepare → Execute → Verify → Close)
- Implement the release process and work closely with the other release representatives to create a seamless release experience for the organization
- Coordinate end-to-end release execution across engineering, product management and delivery and support teams
- Prepare and track release content, configurations, and dependencies to ensure technical readiness
- Execute and support releases, including hands-on post-deployment validation and sanity checks
- Validate release content, configurations, feature flags, and release-specific settings
- Act as the primary operational point of contact during release windows
- Identify, communicate, and escalate execution risks and blockers
- Ensure release outcomes and follow-ups are clearly documented
- Acts as gatekeeper together with QA Manager to make sure the set quality targets have been met
- Owns the feedback loop through the whole release process through to delivery team and facilitate that information back to the product development organization
WHAT ARE WE LOOKING FOR
Core Experience
- 5+ years of hands-on experience in one of the following roles:
Release Manager, DevOps Engineer, Software Developer, or Technical Project Manager
- Direct experience executing releases in a CI/CD-driven environment
CI/CD & Tooling
- Hands-on experience running, monitoring, and troubleshooting releases using GitHub Actions
- Ability to interpret pipeline stages, logs, failures, and test signals
- Experience triggering, re-running, rolling back, and validating pipeline executions
- Working knowledge of Python or scripting to support release execution and operational automation
Release Execution & Coordination
- Experience running release syncs, tracking readiness, and managing cross-team dependencies
- Ownership of release communications and internal release notes
- Comfortable making and coordinating go / no-go decisions within defined criteria
APPLICATION PROCESS
- Hiring Manager Interview
- Technical Task
- Technical Discussion
- Stakeholder Interview
- Final Interview
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help.
Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Spain; Georgia; Poland; Portugal; Lithuania; Bulgaria
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, and tech companies across SaaS, eCommerce, and FinTech. Unlike traditional outsourcing, you’ll be placed directly with a client as a valued, long-term member of their team.
About the Company
This opportunity is with a performance-driven digital marketing agency focused on scaling revenue through data-led paid media strategies. The company specializes in Google Ads, paid social, and conversion optimization, helping clients maximize ROI across multiple industries.
Job Summary
We’re looking for a
Google Ads Expert
to take ownership of paid search campaigns and drive measurable growth for a portfolio of clients. You’ll be responsible for campaign strategy, execution, optimization, and reporting—working closely with account managers and clients to deliver strong ROI.
This role is ideal for professionals searching for
remote Google Ads jobs
,
PPC specialist roles
, or
paid media manager positions
with a strong focus on performance marketing.
Key Responsibilities
Plan, launch, and manage Google Ads campaigns across Search, Display, Shopping, and YouTube
Conduct in-depth keyword research, audience targeting, and competitor analysis
Optimize campaigns for performance (CTR, CPC, CPA, ROAS)
Monitor budgets and allocate spend to maximize ROI
Analyze campaign performance and deliver actionable insights
A/B test ad copy, landing pages, and bidding strategies
Collaborate with account managers and clients to align on goals and performance
Stay up to date with Google Ads trends, algorithm changes, and best practices
Requirements
2–4+ years of hands-on experience managing Google Ads campaigns
Proven track record of improving ROI and scaling paid campaigns
Strong knowledge of:
Google Ads (Search, Display, Shopping, YouTube)
Google Analytics (GA4)
Conversion tracking and attribution models
Experience with keyword tools, bid strategies, and campaign optimization techniques
Analytical mindset with strong data interpretation skills
Excellent communication skills for client-facing discussions
Experience working in a digital marketing agency is highly preferred
Benefits
🌎 Fully remote role with flexible work environment
🚀 Work with high-growth companies and performance-driven teams
📈 Opportunity to scale campaigns with significant ad budgets
🎯 Performance-based bonuses tied to campaign success
🤝 Direct collaboration with international clients and marketing leaders
Location: Orange County, United States
Our client, a well-established real estate company in Orange County, has engaged us to identify a
Tax Manager
to join their tax team. Reporting to the Director of Income Tax Planning & Compliance, the Tax Manager will oversee income tax planning, compliance, and risk management across corporate, partnership, and REIT structures, ensuring the company’s tax position is optimized, compliant, and aligned with business strategy. They also have a Hybrid work-from-home schedule!
The company
acquires, develops, redevelops, and manages multifamily residential properties. They combine strategic growth with long-term value creation for shareholders, residents, and communities.
The Tax Manager will lead complex tax matters, collaborate closely with cross-functional teams and external advisors, and serve as a key internal authority on tax technical issues, audits, and strategic transactions. This leader will bring deep technical expertise, strong ownership, and the ability to execute with precision in a fast-paced, deadline-driven environment while balancing strategic priorities with hands-on delivery.
Below you’ll find more details about the opportunity. We hope it brings to mind someone who may be interested in this highly visible position, and we invite you to share the information with others.
MAIN RESPONSIBILITIES & COMPETENCIES
Work and manage outside advisors to review and file timely federal, state, and local corporate, and partnership income tax, franchise tax and information tax returns. Responsibilities include managing internal and tax deadlines, preparing Company data for returns, review returns, and collaborate with tax consultants.
Implement effective tax strategies to minimize the overall tax burden of the company and to minimize overall costs associated with the tax function.
Assist with due diligence for proposed acquisitions and support the Company’s tax matters related to disposition transactions.
Responsible for filing and paying all Company's indirect tax filings, including but not limited to B&O tax, gross receipts tax, and business licenses.
Assist with management of Company's taxable REIT subsidiary, tasks include preparing quarterly income tax provision, managing intercompany transactions, managing services and income streams, tracking tax credit generation and utilization, and conducting annual corporate overhead survey.
Assist with income tax examinations and respond to various tax notices.
EDUCATION, EXPERIENCE, & PREFERRED SKILLS
Bachelor’s degree (B.A./B.S.) in Accounting or Finance; Master’s or Ph.D. degree strongly preferred.
5 – 7 or more years of progressive experience in tax planning, tax compliance, and tax return preparation involving corporate, partnership, and REIT tax matters.
CPA certification preferred.
Yardi experience preferred.
Big 4 public accounting experience preferred.
Knowledge of partnership taxation required, knowledge of Corporate tax and California tax matters; good understanding of REIT qualification matters and REIT/TRS transfer pricing issues; strong understanding of U.S. GAAP reporting for income taxes.
Ability to thrive in a fast-paced, dynamic environment with shifting priorities and time-sensitive deadlines.
Strong communication skills with the ability to influence across all levels of the organization and engage effectively with external auditors and advisors.
Exceptional attention to detail and the ability to manage multiple priorities in a deadline-driven environment. Demonstrated ability to work independently while remaining a collaborative and dependable team member.
Demonstrated ability to lead and coordinate work across project teams, including assigning responsibilities, supervising deliverables, and supporting the development, performance management, and engagement of team members.
Sound judgment and discretion when navigating sensitive matters, with the ability to produce clear, concise written communications and deliver effective presentations on complex tax topics to internal audiences.
Strong analytical capability to review, interpret, and synthesize tax documents, proactively identifying issues, risks, and opportunities and escalating them appropriately.
Consistent decision-making grounded in a solid understanding of company policies, procedures, and business practices to meet objectives and deliver results within established timelines.
Location: 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
Join Anthropic's Customer Success team in a high-impact role driving AI adoption across our Industry segment. As an Enterprise Customer Success Manager for Industries, you'll be the strategic partner and a trusted advisor to our most complex customers with a portfolio spanning Entertainment, Insurance, Manufacturing and Retail organizations—helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.
You'll work with organizations across diverse industries that are transforming their businesses with AI technology. Developing genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.
In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves.
Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.
Responsibilities:
Build trusting, strategic relationships with key customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion
Become an expert in Anthropic's products across API, Claude Code and Claude for Enterprise, understanding the technical nuances and best practices for each to guide customers to the right solutions
Leverage your deep knowledge of the customer and their industry vertical to proactively drive usage planning, understanding current and future consumption/adoption and how it creates realized value for the customer
Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments
Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness on new products and engaging Product PMs
Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment
Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales to discover new applications for Claude across different departments, teams, and workflows
Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic
Develop scalable engagement strategies and playbooks for your Industry portfolio, balancing high-touch strategic accounts with efficient coverage models to maximize impact across all customers
You may be a good fit if you have:
6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering
Experience working with enterprises in teleco, media, retail, industrial, business services
Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users
Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
Strategic mindset to identify growth opportunities and translate them into actionable expansion plans
Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes
Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
Passion for AI and interest in responsible development of advanced systems
A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality—you're a true team player
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:
$200,000
—
$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: Turaif, Saudi Arabia
Eram Talent is looking for a skilled Pipe Fabrication Supervisor with plant experience for a short-term contract lasting 25 days. The successful candidate will be responsible for overseeing pipe fabrication activities, ensuring compliance with quality standards, safety regulations, and project timelines at the plant.
This is an excellent opportunity for an experienced supervisor to lead and manage the pipe fabrication team, coordinate workflows, and ensure the timely delivery of fabricated piping components.
Requirements
Minimum of 5 years of experience in pipe fabrication supervision, preferably within an industrial plant setting.
Strong knowledge of pipe fabrication processes, welding methods, and relevant codes and standards.
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Familiarity with reading and interpreting technical drawings, isometrics, and specifications.
Good understanding of health, safety, and environmental regulations related to pipe fabrication.
Excellent leadership, communication, and organizational skills.
Ability to work effectively in a fast-paced environment and manage short-term projects.
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London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA
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San Francisco, CA | New York City, NY | Seattle, WA; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
