Location: Munich, Germany
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Native or C1 German speaker with fluent English proficiency
Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Comfortable with python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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, Singapore
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior Solutions Architect based in Singapore (reporting to the Asia Solutions Architect Manager), you'll join GitLab's Asia team as the trusted advisor to prospects, customers and partners across the region, helping them understand how GitLab's AI-powered DevSecOps platform addresses both technical requirements and business objectives across the entire software development lifecycle.
You'll guide organisations through their digital transformation journeys, from planning through monitoring, using your technical and AI expertise, understanding of cloud and modern software development practices, and strong customer empathy.
Partnering closely with your peers, Account Executives and cross-functional teams, you'll own technical evaluations, including proofs of value and workshops, shape solution architectures, and serve as the voice of the customer back to Product Management. You'll drive successful platform adoption, influence revenue growth through solution and value selling, and build long-term, trust-based relationships that showcase GitLab's differentiated position in an AI-driven DevSecOps landscape.
What you'll do
Lead technical discovery, demos, and validation to show how GitLab's AI-powered DevSecOps platform meets customers' technical and business needs across the full lifecycle.
Drive the technical evaluation process as the directly responsible individual, including solution design, proof of concept or proof of value ownership, workshop design, and the technical components of tenders, audits, and value stream assessments.
Collaborate with Account Executives and the broader go-to-market team across Asia to shape and execute account strategies that support new customer acquisition and expansion.
Build and deepen relationships with technical practitioners and business leaders, guiding them through GitLab-driven transformation and enabling them to become GitLab advocates.
Advise customers on modern software development, continuous integration, continuous deployment, security, and cloud practices, challenging existing approaches to improve return on investment.
Serve as the voice of the customer with Product Management, Engineering, Sales, and Marketing by sharing feedback, use cases, and competitive insights that inform roadmap and positioning.
Maintain and expand your technical expertise in GitLab, DevSecOps, AI, and related cloud technologies by creating reusable examples, best-practice guidance, and technical collateral for customers and partners.
Invest in your growth and development through ongoing learning, mentorship, and knowledge sharing to improve the Solutions Architect team's impact continuously.
What you'll bring
Experience engaging with customers in technical pre-sales, consulting, or similar roles, guiding them through solution design and evaluation.
Proficiency with the end-to-end software development lifecycle, including modern DevSecOps practices, continuous integration and continuous deployment workflows, and the application of Generative and Agentic AI within software delivery.
Hands-on experience with GitLab or comparable source control, continuous integration and continuous deployment, and collaboration platforms, and the ability to map platform capabilities to customer use cases.
Practical knowledge of cloud computing concepts and related technologies, with the ability to discuss deployment, security, and operations options with technical teams.
Ability to lead technical evaluations such as proofs of concept or proofs of value, contribute to tenders or audits, and design and run workshops or value stream assessments.
Clear technical communication and presentation skills, with the ability to adapt messages for practitioners through to senior business and technical decision makers.
Fluent Mandarin language skills are required for this role, with the ability to engage stakeholders from C-level executives through to end-user buyers confidently. This role covers markets where Mandarin is essential to effective customer engagement, primarily Singapore and Taiwan.
Skill in building trusted relationships, listening with empathy, and acting as a customer advocate to internal teams such as Product, Engineering, Sales, and Marketing.
Motivation to continuously develop professionally, including learning new technologies, deepening GitLab platform expertise, and applying transferable experience from related fields.
About the team
The Solutions Architect team is part of GitLab's Sales organisation and serves as the technical counterpart to Account Executives, with this role focused on opportunities across Asia and reporting to the Asia Solutions Architect Manager. The team helps customers realise the full value of GitLab's AI-powered DevSecOps platform by advising on architecture, running technical evaluations such as proofs of value, and guiding customers through digital transformation. We work closely with Sales, Product Management, Engineering, and Marketing, collaborating asynchronously across regions to share best practices, create reusable technical collateral, and act as the voice of the customer. The team helps customers modernise end-to-end software delivery, adopt GitLab at scale, and navigate a rapidly evolving AI and DevSecOps landscape.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: United Kingdom
ClickHouse is on a mission to grow a vibrant global user community and accelerate our journey as a cloud first company. We’re looking for a seasoned Account Executive to help expand our customer base and shape the future of ClickHouse adoption in the UK.
Our ideal candidate brings both business acumen and technical depth, capable of guiding customers with specialized expertise to help them achieve their objectives and unlock the full value of ClickHouse.
WHAT YOU’LL BE DOING
- Identify and nurture opportunities, build pipeline, and close short term Cloud monthly contracts, while simultaneously developing a strategic Enterprise business with complex sales cycles.
- Evangelize ClickHouse’s vision and solutions to secure strategic commercial commitments.
- Take a solution-based approach to selling, delivering clear business value for customers.
- Champion the innovation behind ClickHouse Cloud, driving awareness and adoption.
- Manage customer details, including use cases, timelines, and forecasting, within Salesforce.
- Deliver accurate monthly business forecasts.
- Contribute to the ClickHouse ecosystem by engaging in local developer meetups and helping organize ClickHouse specific community events.
WHAT YOU BRING
- Proven ability to manage cross functional resources — from dedicated teams to executive staff, to drive successful outcomes.
- Expertise aligning cloud solutions with customer business needs, challenges, and technical requirements.
- 7+ of experience in open source software business models preferred; strong background in cloud and infrastructure software required.
- Passion for building long-lasting customer relationships and working cross-functionally in a diverse, global team.
- Excellent communication, negotiation, and presentation skills, with strong business and technical acumen.
BONUS POINTS FOR
- Entrepreneurial mindset with a proven record of delivering results in fast moving environments.
- Experience working effectively in a remote-first, global organization.
- Prior success selling databases or deploying applications with major cloud providers.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Remote USA
Workplace: remote
ABOUT THE OPPORTUNITY
Xsolla is seeking a Head of Underwriting to serve as the fund's senior credit authority alongside the Chief Credit Officer. You will design the underwriting framework from a clean sheet, lead the underwriting and structuring of the fund's first facilities, and stand in front of LPs as living proof that the fund underwrites to institutional standards.
This is a builder's mandate. You will codify how this fund underwrites — the credit playbook, standards, templates, and documentation that make the process repeatable and defensible — and, as the team grows, mentor the junior credit hires who operate it.
The role reports directly to Stan Rudoi, Chief Credit Officer and Head of the Xsolla Credit Fund, and sits on the fund's credit committee.
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
Beyond its core commerce platform, Xsolla is building a private credit fund that lends to video game studios, underwritten with a data advantage no traditional lender has: Xsolla's own payments telemetry across thousands of games. The fund is in its capital formation phase and is led by Stan Rudoi, Chief Credit Officer. This is a ground-floor opportunity to help raise a first-time fund inside a profitable, global gaming-commerce company, alongside the broader Xsolla capital markets ecosystem (Xsolla Funding Club, Xsolla SPAC 1 — Nasdaq: XSLLU, and other strategic vehicles).
For more information, visit xsolla.com.
Responsibilities
Underwriting Framework and Credit Policy
Design the fund's underwriting framework from scratch:
credit policy, underwriting standards, rating and scoring methodology, credit memo templates, and approval workflows — built for LP diligence from day one.
Build the data edge into the process:
integrate Xsolla's payments telemetry and game-revenue data into underwriting as a durable information advantage.
Deal Underwriting and Structuring
Lead the underwriting
of lending facilities to game studios and gaming businesses: financial analysis, revenue durability, downside cases, and recovery analysis.
Structure facilities:
term loans, revolvers, royalty- and revenue-based structures — including covenants, collateral packages, borrowing bases, and pricing.
Draft
and negotiate term sheets and credit documentation with borrowers alongside external counsel.
Credit Committee and Governance
Stand up and run the credit committee process:
present transactions, document decisions, and maintain an audit trail that stands up to LP and auditor scrutiny.
Establish portfolio monitoring:
watchlist discipline, covenant tracking, and a workout playbook as the portfolio builds.
LP Diligence and Fundraising Support
Be the credit face of the fund:
appear in fund materials and LP meetings as the fund's credit authority; own underwriting answers in LP due diligence.
Support capital formation:
help shape the fund's risk-return narrative, portfolio construction guidelines, and track-record presentation.
Credit Playbook and Team Building
Codify the credit playbook:
standards, templates, and documentation that make the fund's underwriting repeatable and audit-ready.
Build the bench:
as the fund scales, hire and mentor the junior credit team — analysts, associates, and in time a portfolio/risk officer.
Qualifications and Skills
Experience
7+ years in private credit, direct lending, specialty finance, or leveraged finance, with personal responsibility for underwriting and closing institutional credit transactions.
Experience at an early-stage or first-time credit fund — credit policy written from scratch, LPA input, first LP diligence — is strongly preferred. You have seen what a fund needs before it has infrastructure.
Lending against media, IP, royalties, recurring digital revenue, or gaming businesses is a strong plus.
A track record you can walk LPs through: deals underwritten, structures used, and how they performed — including the ones that went wrong and what you did about it.
Skills and Competencies
Deep fluency in credit analysis, financial modeling, covenant design, collateral structures, and credit documentation.
The gravitas to sit across from LPs, investment committees, and founders — and the judgment to say no to a deal.
Enjoys mentoring junior team members and building a strong credit culture as the team grows.
Comfort operating in a lean, fast-moving team where you build the machine you then operate.
Education and Credentials
A bachelor's degree in finance, economics, business, or a related field; an MBA and/or a CFA charter is preferred.
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Equal Employment Opportunity Statement
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
Criminal History Consideration
For the Head of Underwriting – Credit Fundposition, we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
Credit history check
Relevance to Job Responsibilities
The background check is relevant to this position because of the following role responsibilities:
Handling sensitive financial information and supporting fund analytics, financial models, and deal data
Accessing confidential company data
Ensuring compliance with regulatory requirements
Rights Under the Fair Chance Act
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.
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
The Corporate Network Engineering team owns Anthropic's corporate network: the wired, wireless, and edge infrastructure in our offices and research facilities around the world, and the standards, management systems, and telemetry that let a small team run them. We hold that network to the bar of a production service — designed for failure, managed as code, observable end-to-end, and secure by default — while delivering reliable connectivity to the people who depend on it every day.
You'll set the technical direction together with your engineers and own the final decision on it and on the architecture standards, review and guide designs and the hard trade-offs, and lead vendor and platform decisions. You'll lead and grow a small team of network engineers: set priorities, drive decisions to closure, hire, and develop people. The team is small and the scope is broad, so this role needs real depth in campus and edge networking, judgment about what to standardize, automate, buy, and build, and the range to go from a wiring-closet decision to a budget defense in the same afternoon.
You'll report to the head of IT Engineering and partner closely with our Buildouts, AV, and Endpoint teams; with Security Engineering on network security, authentication, and detections; with Physical Security, whose systems are critical for protecting Anthropic employees and depend on a reliable network; with Workplace, Real Estate, Procurement, and external logistics and integration partners on new site buildouts; and with our production networking teams, whose bar for reliability and automation is the one we hold ourselves to. Your work will directly shape how we scale to AI Safety Level 4 and beyond.
Responsibilities
Lead and grow the Corporate Network Engineering team — hiring, development, performance, planning, and prioritization
Set technical direction with the team and own the final call on architecture standards across edge, campus switching, wireless, segmentation, out-of-band management, and telemetry; review designs and risky changes, and step in on the hard problems
Own reliability and operations: monitoring people act on, incident response and post-incident reviews that produce changes, an on-call and escalation model a small team can sustain, change safety, and lifecycle currency
Move the fleet toward network-as-code: templated configuration with change control, staged rollouts, drift detection, and automation that removes operational toil
Partner with Security Engineering and Detection & Response on network authentication, segmentation, and the network as a detection source
Deliver networks for new offices and research facilities and upgrade existing sites through live migrations — with Buildouts, AV, Physical Security, Workplace, Real Estate, and our logistics partners — while keeping interruptions to employees minimal
Own vendor, carrier, and integrator relationships and the network hardware budget: evaluations, contracts, lead times, and multi-year refresh
You may be a good fit if you
Have 10+ years designing, building, and operating enterprise campus and edge networks, including at least one environment with dozens of sites across regions
Have 5+ years leading engineers, including at least 3 years as a people manager
Lead through technical judgment: whether or not you've been hands-on-keyboard lately, you can go from architecture to protocol behavior to failure modes with your engineers, and your reviews make their designs better
Default to the secure design, then do the creative work to make it painless for the people using it — and can walk an executive or an engineer through the trade-off and make a recommendation
Have run the operational side, not just designed it: out-of-band access, monitoring people act on, an on-call model a small team can sustain, and change safety
Are pragmatic about what to build, buy, or automate, have run vendor evaluations with real money at stake, and chase problems across organizational boundaries to the actual root cause
Communicate clearly with engineers, executives, contractors, and landlords, and can bring a room of senior engineers with strong opinions to a decision they'll commit to
Want real technical ownership with a small team — including if you've led a larger organization before — and care about building infrastructure for an organization trying to get AI right
Strong candidates may also
Have led corporate networking at a company that added offices faster than it added network engineers
Have implemented certificate-based network authentication (802.1X/EAP-TLS or equivalent) and identity- or device-based segmentation at scale
Have shipped network configuration as code and built telemetry pipelines that security and support teams actually use
Have designed dense wireless for large event spaces and high-occupancy floors
Have been through multiple office builds with real estate and construction teams — including networks that physical security systems depend on — and know what to ask for before the walls close
Have managed integrators, MSPs, or smart-hands providers as an extension of a small team while keeping design authority in-house
Technical Skills
We're looking for deep, hands-on experience in each of these — not surface familiarity:
Enterprise edge: firewalls and routing (HA design, routing protocols, policy management across a fleet)
Campus switching and high-density enterprise wireless (L2/L3 design, redundancy, RF design, 6 GHz, high-density venues)
Segmentation and access control (certificate-based 802.1X, dynamic segmentation, guest and IoT isolation)
Out-of-band management and secure, auditable administrative access
Network automation and configuration as code (Python, templating, vendor APIs, source control, CI)
Network observability (streaming telemetry, flow and log pipelines)
Physical infrastructure for buildouts (MDF/IDF design, structured cabling, power and cooling, carrier and path diversity)
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$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 Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking research scientists with deep medicinal chemistry expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be an expert medicinal chemist with hands-on experience designing, synthesizing, purifying, and characterizing small molecules. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll drive experimental programs end to end and pressure-test AI-designed molecules and AI-proposed synthetic routes against real chemistry.
This role is fully on-site in the San Francisco Bay Area.
Key responsibilities
Design multi-step synthetic routes for small molecules and oversee their execution end to end, including route selection, reaction optimization, purification strategy, and interpretation of full characterization data (NMR, LC-MS, HPLC)
Coordinate synthesis and biological evaluation with external contract research organizations and academic partners
Evaluate AI-designed molecules and AI-proposed synthetic routes, drive them to experimental readout, and feed results back to research teams
Apply medicinal chemistry principles, including SAR analysis and physicochemical property optimization, to compound design and prioritization
Ensure experimental data across programs is high quality and well documented, including procedures, spectra, and failure modes
Communicate findings clearly to chemistry, AI research, and life sciences audiences
Minimum qualifications
PhD in chemistry
Demonstrated medicinal chemistry experience, including SAR-driven design and optimization of small molecules, with recent, sustained hands-on synthetic work
Comfort navigating ambiguity and defining problems in a rapidly evolving research environment
Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills
Preferred qualifications
5+ years of medicinal chemistry experience beyond the PhD
Track record of advancing programs from hit identification through lead optimization
Experience directing synthetic chemistry activities at contract research organizations
Computational chemistry, cheminformatics, or coding skills, for example Python with RDKit or pandas for data analysis and automation
Experience using AI or ML tools in the life sciences
Publications and/or patents demonstrating scientific impact
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:
$300,000
—
$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: 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
Claude serves millions of individual users alongside enterprise clients. Safeguards Engineering develops the foundational infrastructure that ensures its safe use: robust access controls, active abuse detection, real-time probes and classifiers within the inference pipeline, offline monitoring for review, and the underlying systems powering it all. Operating at scale and velocity, we continuously adapt to technology whose capabilities and risks evolve weekly.
The Safeguards Data team owns the data lifecycle for Safeguards—routing user data and safety metadata from online systems into offline storage and enabling access for downstream teams. Our goal is to provide privacy-safe access to sensitive data for approved uses while ensuring performance, reliability, and minimal blast radius. We prioritize security by design, embedding controls directly into systems operating across AWS, GCP, Azure, and customer-managed environments.
This is a systems engineering position within a small, newly established team. Rather than managing an existing backlog, you will have the autonomy to own a problem domain, establish its technical vision, and shape the team's trajectory.
Key responsibilities
Design, build, and operate the stores, pipelines, schemas, and APIs that Safeguards' detection, evaluation, investigation, and review systems read from.
Build privacy-safe interfaces that allow ML training, evaluation, and investigation workflows to utilize sensitive data without requiring broad access to raw records, ensuring access is tied to purpose and built-in lineage.
Scale the distributed storage, ingestion, and processing systems operated by Safeguards, maintaining cost efficiency, reliability, and portability across deployment environments.
Collaborate with investigators, researchers, legal, privacy, and security teams to translate operational requirements into functional mechanisms and systems for safe data utilization.
Uphold a high operational bar by participating in the on-call rotation, leading incident reviews, and continuously reducing manual operational overhead.
Lead through technical design by authoring foundational proposals and conducting cross-team architectural reviews.
Minimum qualifications
Have strong systems fundamentals (processes, threads, RPC, storage, and how systems fail) and have built and operated large-scale, fault-tolerant distributed systems
Have built and operated systems that handle sensitive or high-value data, with access, privacy, retention and security controls designed in from the start
Have a track record of building platforms or internal tooling that other teams widely adopt
Have led the technical design of projects that span several engineers or teams
Learn quickly and adapt: you're comfortable with ambiguity, a fast pace, and systems or languages you haven't used before
Care about the impact of your work and about making AI safe, use good judgment about what matters most, and can explain technical trade-offs to non-technical partners
Preferred qualifications
Proficiency in one or more systems languages (e.g., C, C++, Rust, Go)
8+ years of experience as a software engineer, and a Bachelor's degree in Computer Science, Software Engineering or comparable professional experience
Experience building data infrastructure for ML: training datasets, offline batch inference or evaluation
Experience with data governance requirements in a regulated or high-sensitivity domain
Fluency with agentic coding tools such as Claude Code
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
—
$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
Anthropic's consulting and systems integration partners now sell and deliver Claude work at growing volume, and selling alongside partners is working. What matters next is delivery: whether the partner completes the work, whether the customer's Claude usage grows and holds, and whether the outcome is good enough that the customer asks for that partner again.
The Partner Success Lead owns that outcome. You will hold a book of in-flight customer engagements across a set of managed partners in North America. From the day our Partner Delivery program matches a customer engagement to a partner in your book, you own it to a completed outcome: the work finishes on scope, the customer's Claude usage grows, and a stalled engagement gets diagnosed and unblocked before the customer disengages. You wake up every day on one question: what is each partner in my book doing, and is the work getting done.
Key responsibilities:
Own every customer engagement in your book from partner match to completed outcome. Know the state of each one every week: scope, timeline, blockers, and the customer's Claude usage trend.
Run the weekly delivery review across your book, and bring stalled or at-risk engagements to the weekly at-risk account review with a diagnosis, an owner, and a specific ask rather than a status list.
Unblocking. Partner capacity, scope creep, customer readiness, product questions, deal-registration conflicts, and customer dissatisfaction with partner work: get each issue to the right internal team and stay on it through resolution.
Own delivery quality and consumption across your book. Track engagements completed on time, time from match to completion, delivered consumption and weekly active use on the customer accounts your partners serve, and the accounts trending toward at-risk.
Build senior relationships with each managed partner's practice and delivery leadership. Together with the Partner Account Manager and other Anthropic counterparts, establish the executive-level trust that lets you ask a partner to restaff, escalate, or invest — and be taken seriously — when an engagement needs it.
Build each partner's Claude practice as the compounding work: certified bench depth, one repeatable offering in a chosen industry lane, and a published customer story from each completed engagement, so the next engagement needs less from you.
Turn what works into methodology. Convert the moves you prove in your book into named, reusable best practices — engagement review packs, unblocking plays, practice-building guides — written clearly enough to be shared at scale across partners, the Partner Success team, and the contract delivery team running the same loop.
Run the quarterly practice review with each managed partner's alliance and delivery leads: joint goals on completed customer engagements, customer adoption, certified practitioners, references, and industry positioning.
Present and persuade across audiences. Deliver partner executive briefings, practitioner enablement sessions, and internal reviews with equal command — this role is regularly the voice of Partner Success in front of a partner's leadership, a delivery team, a customer, or Anthropic's own leadership.
Steward funding requests from partners in your book. Recommend for or against co-investment and program funding requests against a stated outcome, and reconcile against milestones. The bar is outcomes, not consultant hours.
Work the handoffs cleanly: from Partner Sales when a partner deal closes, and from the Partner Delivery program when an engagement is matched to a partner in your book. Coordinate with the Partner Account Manager on any strategic partner that has one, with Customer Success Managers on customer-side account health, and with Anthropic's direct sales field on joint accounts.
Instrument your book and know its numbers: engagements in flight and completed, stall rate and days to unblock, delivered consumption per partner, certified practitioner counts, and partner health trajectory.
Run your book Claude-first. Telemetry drafts the diagnosis; you validate it and act. Claude drafts your review packs, status notes, and escalation briefs; you own the judgment, the exceptions, and the unblocking. Feed what you see in the field back into the packages, playbooks, tier rules, and health rubric the team runs on.
Minimum qualifications:
Experience owning a high-volume book of concurrent customer engagements, projects, or accounts (roughly 10 to 30 at a time) to completed outcomes, in a partner success, customer success, delivery management, or technical account management role.
Ability and appetite to build structure, clarity, and programmatic motions out of in-flight work, while delivering engagement by engagement. You have written something down — a review format, a checklist, a play — that others ran without you, and you want to do more of that; growing that into the operating playbook a wider team runs is the senior end of this role, not the entry bar. This role scales by what you write down, not by added hours.
Track record of a number tied to completed work and customer behavior (on-time delivery, adoption, retention, consumption, expansion) rather than contract signature, and an operating rhythm you built to hit it.
Judgment on delivery quality: you can review a partner's engagement plan or scope and tell whether it will finish on time and produce usage, and you ask the follow-up question that surfaces the real risk.
Escalation and unblocking judgment across a matrix (partner, customer, direct sales, customer success, product): you know which stall belongs to whom, you get help fast, and you stay engaged to resolution.
A convincing speaker and presenter to all kinds of audiences: partner executives, delivery practitioners, customers, and internal leadership. You can carry a quarterly practice review, an enablement session, and an executive escalation in the same week and land each one.
Deep understanding of how customer success works in a usage-based business; you have held a number tied to customer behavior and can read a consumption trend and act on it.
Enough technical fluency to be credible in a delivery review. You do not need to write code, but you can follow a partner architect's walkthrough of a real Claude engagement and ask the substantive second question.
Active daily use of Claude or another large language model as part of how you work: preparing reviews, drafting account plans, and analyzing your book. We will ask you to walk us through a recent deliverable.
Preferred qualifications:
5 to 8 years working with consulting and systems integration partners, or in delivery-facing customer success at a software company, cloud platform, or partner-led business.
Direct experience with systems integrators (global firms such as Accenture, Deloitte, Capgemini, Infosys, TCS, or Wipro, or regional and boutique firms) and an understanding of how their delivery practices are staffed and run.
Experience running at-risk or red account reviews and turning stalled work around.
Experience anchoring a surge team: setting the playbook and the review pack that a group of contract or offshore delivery coordinators ran, and holding the quality bar across them.
Depth in a specific industry vertical (financial services, healthcare, public sector, retail, or manufacturing) where you have carried a book of partners or customers.
Experience stewarding co-investment funding or market development funding against specific outcomes, with formed opinions about what works and what does not.
Experience running quarterly business reviews with consulting firm practice leads, and a sense of what makes them productive rather than ceremonial.
Experience on a new team where the operating model was being written while you ran the book, and you shipped both.
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:
$215,000
—
$300,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York, NY
Workplace: OnSite
About the Company
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
Our Ethos
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
About the Team
Product Marketing sits within Rain's Marketing & Communications team and owns how we bring Rain's card issuing and stablecoin infrastructure to market. The Cards product pillar is our longest-standing product, and includes stablecoin cards that work across the Visa and Mastercard networks, onchain rewards infrastructure that drives loyalty, and thoughtfully crafted capabilities, like scoped cards, that support agentic payments as agents take on more of the world's transacting. Reporting to our founding PMM, you'll help build the positioning, enablement, and market intelligence that keep Rain ahead as this category gets more crowded.
What you’ll do
- Own go-to-market for new card-related product and feature launches, from positioning through rollout
- Build and maintain revenue enablement for both Business Development and post-sales Platform teams, including pitch decks, case studies, and sell sheets, as well as internal training
- Partner closely with Product, Engineering, Compliance, and Legal to translate card program mechanics like interchange, network rules, program economics, and agentic use cases into materials teams can act on
- Track issuers and networks entering the stablecoin card space in key global markets and give internal teams a clear point of view on how Rain wins
- Build and run training for Business Development and post-sales Platform teams on card issuing fundamentals so they can sell and support credibly
- Represent the voice of the customer back to Product and Engineering to shape roadmap priorities
You are likely to succeed if you have:
- 3-7+ years in product marketing, product management, or sales enablement at a card network, issuer, processor, or program manager (not a fintech or neobank that simply offered a card to consumers)
- Deep knowledge of card issuing economics, including interchange, network fees, program management, and compliance
- A track record selling or marketing card programs to enterprise-level companies
- Genuine interest in agentic payments and how cards like Rain's scoped cards will become a primary way agents transact
- Comfort working cross-functionally with Product, Engineering, Compliance, and Legal in a fast-moving environment
- Strong writing and communication skills, with the ability to make technical and regulatory complexity clear
Bonus attributes:
- Existing relationships across the card issuing and network ecosystem
- Familiarity with agentic commerce, AI agents, or emerging payment rails
Things that enable a fulfilling, healthy and happy experience at Rain:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: New York, NY
Workplace: OnSite
About the Company
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
Our Ethos
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
About the Team
Product Marketing sits within Rain's Marketing & Communications team and owns how we bring Rain's infrastructure to market. The Money Movement line covers onramps, offramps, and payments, the connective tissue between onchain and the world's banking rails. As the world moves onchain, this team's job is to make clear how Rain bridges stablecoins with the rails enterprises already trust, from ACH and SEPA to SWIFT, Fedwire, and local real-time payment schemes. Reporting to our founding PMM, you'll help build the positioning, enablement, and market intelligence that keep Rain ahead as this category matures.
What you’ll do
- Own go-to-market for new onramp, offramp, and payments product and feature launches, from positioning through rollout
- Build and maintain revenue enablement for both Business Development and post-sales Platform teams, including pitch decks, case studies, and sell sheets, as well as internal training
- Partner closely with Product, Engineering, Compliance, and Legal to translate money movement mechanics like liquidity, settlement, FX, and cross-border regulatory nuance into materials teams can act on
- Track banking rails and payment schemes around the world, including ACH, SEPA, SWIFT, Fedwire, and regional real-time payment systems, and explain how Rain connects to each
- Track competitors in the stablecoin on/offramp space and give internal teams a clear point of view on how Rain wins
- Represent the voice of the customer back to Product and Engineering to shape roadmap priorities
You are likely to succeed if you have:
- 3-7+ years in product marketing, product management, or sales enablement at a payments company, bank, or money transmitter working directly with cross-border rails and settlement
- Deep knowledge of banking rails and payment schemes around the world, including ACH, SEPA, SWIFT, Fedwire, and regional real-time payment systems
- A track record selling or marketing payments infrastructure to enterprise-level companies
- Genuine interest in how stablecoins and onchain rails are reshaping global money movement
- Comfort working cross-functionally with Product, Engineering, Compliance, and Legal in a fast-moving environment
- Strong writing and communication skills, with the ability to make technical and regulatory complexity clear
Bonus attributes:
- Experience with FX and treasury operations across multiple currencies
- Existing relationships across banks, payment processors, or correspondent banking networks
- Familiarity with stablecoins, blockchain settlement, or onchain payment rails
Things that enable a fulfilling, healthy and happy experience at Rain:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
We are looking for a Finance & Strategy (FP&A) Systems Engineer to join our Finance Systems team at Anthropic. In this role, you will be responsible for building and maintaining platforms that support our core Financial Planning, Forecasting and Analytics processes. You will bring deep hands-on expertise in EPM platforms like Anaplan, Pigment and data platforms like BigQuery, who writes integrations, tooling, and production code that connect them to Anthropic’s ERP and data warehouse systems. You'll work closely with Corporate Finance & strategy stakeholders to translate business requirements into innovative technical solutions, maintain data integrity, and drive continuous improvements to our financial systems infrastructure.
You'll manage day-to-day Finance system operations, support critical financial processes and monthly Forecasting cycles, and take on more ambitious system projects over time, including using Claude to automate FP&A work, help build scalable solutions that enable efficient financial planning, forecasting, and reporting as we continue to grow.
Responsibilities
Systems Administration and Support
Serve as a primary system administrator for our financial planning platform (Pigment), maintaining system health and optimal performance
Manage Finance applications, data, user access & security, system configurations, version management to ensure appropriate controls and governance.
Provide technical support and troubleshooting for end-users, resolving issues and answering system-related questions
System Development and Enhancement
Design, build, and maintain applications, Financial models and workflows with in-house tools and EPM platform like Pigment to support financial planning, budgeting, forecasting, and reporting processes
Develop and maintain secure dataflows, integrations using Rest APIs to connect FP&A platforms, data warehouse with enterprise systems (e.g., Workday Financials, Salesforce CRM, etc.)
Develop SQL-based data models, ETL pipelines, and reporting infrastructure to support financial close, forecasting, and business intelligence.
Business Partnership and Process Improvement
Partner with Finance & Strategy (FP&A), Accounting, and other Finance teams to understand business problems and use AI tools to build cutting edge solutions
Support Monthly Forecast, Annual & Long Range planning, Workforce planning, OPEX Forecasting, Balance Sheet & Cash flow forecasting processes.
Identify and implement process and Finance platform improvements.
Participate in testing and validation of system changes, ensuring accuracy and reliability
Assist with training and onboarding of new system users
Data Management and Quality
Ensure the accuracy and integrity of financial data across systems
Develop and maintain data validation rules and quality checks
Troubleshoot data discrepancies and work with relevant teams to resolve issues
Support data migration and transformation activities as needed
Minium Qualifications
Have 8+ years of experience in FP&A systems - EPM platforms, Finance data warehouse, with a focus on financial planning, forecasting and analysis.
Have hands-on experience administering and developing solutions in enterprise planning platforms (e.g., Pigment, Anaplan, Adaptive Planning, or similar EPM tools)
Possess strong engineering and technical skills including advanced SQL and data modeling skills, creating and maintaining system integrations and data pipelines.
Have demonstrated ability to translate business requirements into technical specifications and system designs.
Have a strong understanding of FP&A processes, financial reporting, and accounting principles
Preferred Qualifications
Techno-functional: you're someone who is a CFA but also a hands on developer.
Experience owning changes inside a shared production codebase alongside a product engineering team
Warehouse and analytics-engineering skills such as dbt, BigQuery, or comparable
Experience building robust Finance applications with LLMs
Knowledge of programming or scripting languages (Python, JavaScript, etc.)
Experience with Financial planning & analysis (CFA), experience with pre-IPO companies, supporting rapid growth and scaling financial systems accordingly.
Understanding of financial data security and compliance requirements
Certification in relevant planning platforms (e.g., Pigment, Anaplan Model Builder)
Project management skills and experience leading system implementation workstreams
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:
$205,000
—
$270,000 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, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
To be eligible for this role, you need to graduate in December 2026 and be able to start full time by January/February 2027.
WHAT YOU'LL ACHIEVE:
- You'll work with others to plan, shape, and build new product features from start to finish: through conception, research, implementation, and maintenance. For example, you might work on driving adoption, by instrumenting key onboarding moments and iterating on activation flows.
- You'll help improve performance and reliability, or polish existing features. For example, you might update our spell checker to sync dictionaries across browsers or improve search to index file attachments.
- You'll build internal tools to support simplicity and productivity for the whole team. This might include writing a script to import user feedback into Notion.
QUALIFICATIONS:
- Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field.
- To be eligible for this role, you need to graduate by Dec 2026 and be able to start FTE by January/February 2027.
- Previous internship experience.
- Working towards a proficiency of one or more programming languages such as TypeScript, Node.js, or Python.
SKILLS YOU'LL NEED TO BRING:
- Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends.
- You stay current with the latest tools like Codex, Claude Code, and other AI-assisted development environments. You're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users.
- Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck. You think about the implications of what you're building and how it will impact real people's lives.
- Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
- Passion for web applications: You can work with others to build and maintain quality user interfaces for a big audience, using Web technologies like HTML, CSS, JavaScript, and a modern UI framework like React.
- Familiarity with backend systems: You understand how parts of a system fit together—from the user interface to the data model. Familiarity with database systems like Postgres, MySQL or MongoDB is a plus.
NICE TO HAVES:
- You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
- You’re a builder who finds joy in building software solutions for yourself or others.
- You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated salary range for this role is $135,000 - $155,000
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
This internship will take place from May 17 - August 6 or June 14 - Sept 3 (based on your summer schedule) and you will need to be able to work out of our NY or SF office during this time.
WHAT YOU'LL ACHIEVE:
- Write clean, secure, tested, and documented code.
- Design & enhance the Notion product with new capabilities with an AI first mindset
- Develop, fix and debug software for across our full stack: web services, databases, applications, tools while leveraging modern frameworks and tooling.
QUALIFICATIONS:
- Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. Must graduate before Summer 2028.
- This internship will take place from May 17 - August 6 or June 14 - Sept 3 (based on your summer schedule) and you will need to be able to work out of our NY or SF office during this time.
- Previous internship experience.
- Working towards a proficiency of one or more programming languages such as Typescript, Node.js, or Python.
- You find large challenges exciting and enjoy discovering problems as much as solving them.
- You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment.
SKILLS YOU’LL NEED TO BRING:
- Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.
- Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad.
- Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go.
- Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed.
- Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
- AI enthusiast: You have built or prototyped features with AI technologies (LLMs, Embeddings, ML) and are interested in learning more
NICE TO HAVES:
- You have expertise with specific technologies that are part of our stack, including Typescript, React, Python.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
- You have interests outside of technology, such as in art, history, or social sciences.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated hourly range for this role is $57/hr for Bachelors and $61/hr for Master’s.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
This internship will take place from January 25 - April 16 and you will need to be able to work out of our NY or SF office during this time.
WHAT YOU'LL ACHIEVE:
- Write clean, secure, tested, and documented code.
- Design & enhance the Notion product with new capabilities with an AI first mindset
- Develop, fix and debug software for across our full stack: web services, databases, applications, tools while leveraging modern frameworks and tooling.
QUALIFICATIONS:
- Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. Must graduate before December 2027.
- This internship will take place from January 25 - April 16 and you will need to be able to work out of our NY or SF office during this time.
- Previous internship experience.
- Working towards a proficiency of one or more programming languages such as Typescript, Node.js, or Python.
- You find large challenges exciting and enjoy discovering problems as much as solving them.
- You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment.
SKILLS YOU’LL NEED TO BRING:
- Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.
- Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad.
- Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go.
- Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed.
- Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
- AI enthusiast: You have built or prototyped features with AI technologies (LLMs, Embeddings, ML) and are interested in learning more
NICE TO HAVES:
- You have expertise with specific technologies that are part of our stack, including Typescript, React, Python.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
- You have interests outside of technology, such as in art, history, or social sciences.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated hourly range for this role is $57/hr for Bachelors and $61/hr for Master’s.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Strategic Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI by securing strategic deals with top enterprises across key industry verticals, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across key industry verticals.
The ideal candidate will have a passion for developing industry-specific market segments, pinpointing high-potential opportunities within key industry verticals, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI.
Responsibilities:
Win new business and drive revenue within a book of strategic industry accounts. Own the full sales cycle from prospecting to close, identifying and developing new opportunities across multiple business units and use cases within key industry verticals
Navigate complex organizational structures and build consensus among diverse stakeholder groups. Develop multi-threaded relationships from individual contributors to C-suite executives across industry enterprises
Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze your industry accounts' landscape, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns
Spearhead expansion by pinpointing new use cases and business units within key industry verticals. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge within your strategic industry accounts
Own sophisticated deal cycles involving multiple stakeholders, technical evaluations, and complex procurement processes. Demonstrate resourcefulness when faced with challenges that defy easy solutions
Build and maintain accurate pipeline forecasting while ensuring high forecast accuracy and consistency. Identify a robust set of business drivers behind all opportunities
Inform product roadmaps and features by gathering customer feedback and conveying key industry market needs. Provide insights that strengthen our value proposition and enhance the customer experience within industry verticals
Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency across key industry verticals
You may be a good fit if you:
10+ years of enterprise sales experience with a proven track record of closing complex deals with strategic accounts. Experience managing sophisticated sales cycles and securing deals with extended timelines and multiple stakeholders across key industry verticals
Experience selling emerging technologies or complex solutions to large industry enterprises. Ability to navigate technical evaluations and translate complex capabilities into business value for industry-specific use cases
Strong executive presence with demonstrated ability to engage C-suite executives and senior stakeholders. Experience presenting to boards and aligning solutions with strategic business initiatives within key industry verticals
Exceptional relationship building skills with proven ability to develop multi-threaded relationships across large organizations. Experience building consensus among diverse stakeholder groups in industry environments
Consultative sales approach with a focus on understanding customer business challenges and crafting tailored solutions. Ability to position yourself as a strategic advisor rather than a vendor within key industry verticals
Strong cross-functional collaboration skills with an ability to mobilize internal resources including product, engineering, and partnership teams. Experience coordinating complex deals that require multiple internal stakeholders
Resourcefulness and problem-solving abilities when faced with complex challenges. Demonstrated ability to navigate ambiguous situations and find creative solutions
High level of organization and attention to detail with strong forecasting accuracy. Ability to manage multiple complex opportunities simultaneously
Passion for AI and emerging technologies with enthusiasm for helping industry organizations transform through responsible AI deployment. Strong alignment with Anthropic's mission of developing safe, beneficial AI systems
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$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: England; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
The Developer Experience team builds the backend systems and product capabilities that help developers understand, secure and ship software with confidence. The team powers important parts of Docker Scout, Docker Hardened Images and the workflows that turn supply-chain data into useful developer experiences.
Our systems are deliberately polyglot. Today that includes Clojure and Go services, event-driven workflows, Kafka, legacy Datomic components and newer Spanner-backed services. We will keep evolving the stack as the product and business change. We are looking for an adaptable backend engineer who can become effective in an unfamiliar codebase, choose technology pragmatically and help other engineers do the same. Clojure experience is useful, but it is not a requirement and this is not a Clojure-specialist role.
We make extensive use of AI-assisted engineering tools. We expect engineers to use them thoughtfully, validate their output and remain accountable for the quality, security and operability of what ships. At Staff level, you will also help the team turn good individual practice into repeatable workflows, controls and shared standards.
As a Staff Software Engineer, you will lead ambiguous, cross-team work from problem definition through measurable outcomes. You will remain hands-on in code while shaping architecture, raising operational standards and creating enough clarity for several engineers and partner teams to move quickly. Work may span developer-facing features, build and artefact workflows, data and event pipelines, platform evolution and integrations with Docker's build and security systems.
SUCCESS IN THIS ROLE LOOKS LIKE
You will succeed by finding the highest-leverage problem, creating momentum before every detail is known and bringing people with you. Within your first year, teams should be delivering more confidently because you have made system boundaries clearer, reduced operational risk, connected technical choices to customer outcomes and helped senior engineers take on larger work.
RESPONSIBILITIES
- Set technical direction for major backend and developer-experience initiatives across Clojure, Go and adjacent systems.
- Turn ambiguous product or platform problems into clear plans, staged decisions and measurable outcomes.
- Design, build and operate distributed services, event pipelines, databases and APIs with strong security and reliability characteristics.
- Lead cross-team delivery, surface risks early and remove technical or organisational blockers without waiting for formal authority.
- Make pragmatic recommendations about when to retain, evolve or replace existing components, including the continued reduction of legacy Datomic dependencies.
- Partner with Product, Design, Security and other engineering teams to connect technical investment to developer and business outcomes.
- Improve observability, incident readiness, performance and service ownership across the Developer Experience estate.
- Improve engineering leverage through appropriate automation, AI-assisted workflows and controls that preserve human accountability.
- Mentor senior engineers, raise the quality of design and code reviews and create reusable patterns that multiply the team.
- Stay hands-on through implementation, debugging and the team's paid on-call rotation.
- Communicate decisions and trade-offs clearly in a remote, async-first environment.
QUALIFICATIONS
REQUIRED
- 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Deep experience designing, building and operating production backend or platform systems.
- Strong programming ability in at least one production language, with evidence of becoming effective in unfamiliar languages and codebases.
- Experience with distributed systems, event-driven architectures, APIs, relational or distributed databases and cloud-native infrastructure.
- A track record of leading complex initiatives that crossed team or organisational boundaries.
- Strong technical and product judgement, including the ability to explain constraints, alternatives, customer outcomes and business trade-offs.
- Evidence of influencing without authority and improving the effectiveness of other experienced engineers.
- An operational mindset that treats observability, resilience, incident response and on-call ownership as part of engineering.
- Comfort using AI-assisted engineering tools critically while retaining ownership of the result.
- Clear written and spoken communication suited to a remote, async-first company.
HELPFUL, BUT NOT REQUIRED
- Production experience with Go, Clojure or both.
- Experience with Spanner, Datomic, Kafka or other distributed data and streaming platforms.
- Experience with build systems, containers, artefact workflows or developer tooling.
- Experience evolving a platform, database or language strategy without disrupting product delivery.
- Experience building security or software supply-chain products.
WHAT TO EXPECT
FIRST 30 DAYS
- Build context on Developer Experience products, customers, architecture and current priorities.
- Pair across Clojure, Go, Datomic and Spanner-backed systems and ship a useful production change.
- Understand the operational profile of the team's services, including on-call and recurring failure modes.
- Build working relationships with Product, Design, Security and adjacent engineering teams.
- Learn the team's AI-assisted engineering practices and identify where shared controls or workflows would improve them.
FIRST 90 DAYS
- Lead the technical framing and delivery plan for one significant team or cross-team problem.
- Contribute production code in the parts of the stack needed to move that work forward.
- Identify and begin addressing a material reliability, observability, data or architectural weakness.
- Establish a mentoring and design-review cadence that helps other engineers own larger decisions.
ONE YEAR OUTLOOK (FIRST YEAR)
- Be a trusted technical leader for Developer Experience and a sought-after partner across Docker.
- Deliver at least one material product or platform outcome spanning multiple teams or systems.
- Improve the reliability, clarity and delivery speed of the backend and data estate.
- Shape pragmatic evolution across Clojure, Go, Datomic, Spanner and future technologies without turning technology choice into the goal.
- Grow other senior engineers into broader ownership and reduce the number of decisions that depend on a small set of people.
Docker considers sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
EU: €110,500 – €181,500+ equity
United States: $170,350 – $275,550 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: England; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
The Secure Build team builds and operates the infrastructure behind Docker's container builds. The team owns Docker Build Cloud and Auto Builds while developing the next generation of trusted build and CI capabilities.
Software is being changed faster than ever, but CI remains a bottleneck and a major trust boundary. Developers and software agents need to run build and test work quickly without exposing secrets, losing local-to-cloud parity or accepting an unverifiable result. Our direction is to make Docker the trusted place CI runs and turn that constraint into an accelerator.
The technical work spans Go services, container and build technology, cloud infrastructure, isolated execution and software supply-chain security. It also requires disciplined operation of the production systems customers rely on today. Docker Build Cloud and Auto Builds will need targeted reliability and operational improvements while useful capabilities evolve towards a coherent Secure Build platform.
As a Senior Software Engineer, you will turn these problems into practical product and technical outcomes. You will own substantial work from discovery and design through production, make sound security and reliability trade-offs, and stay close to the experience of developers and the agents they delegate work to.
We make extensive use of AI-assisted engineering tools. We expect engineers to use them thoughtfully, validate their output and remain accountable for the quality and security of what ships.
SUCCESS IN THIS ROLE LOOKS LIKE
You will succeed by becoming an end-to-end owner for secure, reliable build infrastructure. Within your first year, you should have delivered a material secure-build or CI capability, reduced operational risk in Docker Build Cloud or Auto Builds, and become a trusted partner to the teams and customers that consume the platform.
RESPONSIBILITIES
- Turn developer, agent and security problems into clear requirements, staged technical decisions and measurable outcomes.
- Design, build and operate Go services and APIs that power Docker's build and secure-CI infrastructure.
- Develop isolation, identity, policy, provenance, attestation and signing capabilities for trusted build and test jobs.
- Work with container, OCI, BuildKit, cloud and isolated-execution technologies to deliver secure and reproducible workflows.
- Own features from technical design through rollout, observability, incident response and ongoing maintenance.
- Keep Docker Build Cloud and Auto Builds reliable, make targeted improvements that reduce operational load, and help their capabilities evolve towards the wider Secure Build direction.
- Make practical security trade-offs and use threat modelling to guide designs without blocking delivery.
- Design for a clear developer experience, including workflows initiated or consumed by software agents.
- Partner with Product, Security, Developer Experience, Registry and other platform teams on end-to-end customer workflows.
- Participate in the team's paid on-call rotation and drive improvements from incidents and recurring operational work.
- Communicate decisions, risks and progress clearly in a remote, async-first environment.
QUALIFICATIONS
REQUIRED
- 6+ years of software engineering experience, with demonstrated technical leadership on production systems at scale.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Strong backend engineering experience building and operating distributed systems in production.
- Production experience with Go and the ability to write, test, review and debug maintainable Go services.
- Experience with containers and build or CI systems, such as OCI, BuildKit, Buildx, GitHub Actions or comparable platforms.
- Experience with cloud-native infrastructure and a major cloud platform.
- A strong operational mindset covering observability, reliability, incident response and on-call ownership.
- Evidence of taking a feature or service from an ambiguous problem through production operation and measurable results.
- Working knowledge of security boundaries, identity, secrets and common software supply-chain risks.
- A strong product mindset and care for developer workflows, including experiences used by software agents.
- Clear written and spoken communication suited to a remote, async-first company.
HELPFUL, BUT NOT REQUIRED
- Experience with Kubernetes.
- Experience with SLSA, in-toto, SBOM, VEX, Sigstore, cosign, provenance or artefact signing.
- Experience with sandboxing, microVMs, untrusted workload execution or multi-tenant infrastructure.
- Experience building hosted CI runners, remote builders or developer-platform infrastructure.
- Experience with agentic development workflows or building systems used programmatically by software agents.
- Experience evolving a legacy production system while delivering new capabilities.
WHAT TO EXPECT
FIRST 30 DAYS
- Build context on Docker Build Cloud, Auto Builds and the Secure Build product and technical direction.
- Pair with the Secure Build team on core services, deployments and operational practices.
- Ship a useful production change and take part in an operational review or incident-learning session.
- Understand the secure-CI threat model and build relationships with DHI, Registry and Developer Experience.
FIRST 90 DAYS
- Own a secure-build feature or reliability improvement from problem definition through production.
- Contribute materially to the secure-CI architecture, including isolation, identity, policy or signed evidence.
- Deliver an observable improvement to the reliability or operability of an existing build service.
- Demonstrate strong product judgement across developer and agent workflows.
ONE YEAR OUTLOOK (FIRST YEAR)
- Be a trusted senior technical owner on the Secure Build team.
- Deliver a material secure-CI or trusted-build capability used by customers or internal product teams.
- Improve the reliability and maintainability of Docker Build Cloud and Auto Builds while helping their useful capabilities converge with the wider platform.
- Contribute to the team's architecture for isolated execution, brokered access and verifiable build outcomes.
- Help establish strong product, design, review and operational practices as the team grows.
Docker considers visa sponsorship on a case-by-case basis based on business needs.
Compensation & Equity
EU: €94,040 – €155,650+ equity
United States: $160,900 – $260,700 + equity
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Responsibilities
AI-Assisted Prototyping & Vibe Coding
— Build interactive prototypes and design explorations using AI coding tools (Claude Code, Cursor, v0, Framer, or similar), using code as the primary creative tool.
— Design and prototype AI-assisted product solutions (agents, copilots, generation and automation tools) together with product and engineering teams.
— Build and iterate prompt → flow → result pipelines; contribute reusable prompt patterns and workflow libraries.
— Use no-/low-code tools (Webflow, Retool, Zapier) to reduce dependency on core engineering.
— Move prototypes to production in close collaboration with engineers, ensuring smooth handoff and feasibility.
UI/UX Design
— Turn ideas into clear UX flows, wireframes, and high-fidelity mock-ups in Figma when needed.
— Apply strong visual and interaction design skills including hierarchy, clarity, motion, and micro-interactions.
— Create partner-facing materials such as product presentations, landing pages, one-pagers, and infographics for go-to-market and integrations.
Discovery, Research & Experimentation
— Contribute to discovery activities: interviews, JTBD, surveys, CJMs, translating insights into product decisions.
— Validate solutions and hypotheses through quick tests and experiments.
— Collaborate with analytics to define success metrics and interpret experiment results.
Monetization UX
— Translate monetization and growth ideas into concrete prototypes, UX changes, and experiments.
— Design and iterate flows for D2C, in-app/F2P, and LiveOps scenarios (shops, offers, bundles, events).
Bridge Business ↔ Design ↔ Tech
— Translate business problems and partner needs into clear artifacts: flows, specs, clickable prototypes, and simple documentation.
— Work closely with engineers to ensure feasibility and smooth transition from prototype to production.
— Contribute to internal standards for AI-assisted workflows, UX quality, and visual consistency (without direct people-management).
Qualifications & Skills
— 5–7+ years in product design, UX/UI, or hybrid design-engineering roles.
— Hands-on experience with AI coding tools (Claude Code, Cursor, v0, or similar) for building and prototyping.
— Passion for vibe coding and AI-assisted prototyping.
— Proficiency in Figma for UX flows, wireframes, and high-fidelity design.
— Proven AI production experience: building prompt and workflow pipelines, shipping automated or AI-assisted flows.
— Strong UI skills: visual clarity, hierarchy, attention to detail, polished prototypes.
— Strong UX thinking: flows, structure, consistency, edge cases, designing connected product experiences.
— Research skills: discovery (interviews, JTBD, CJM), usability tests, surveys.
— Analytics & experiments: framing hypotheses, reading A/B-test results, linking UX changes to business metrics.
— Strong English communication skills.
Nice to Have
— Experience designing and shipping D2C and F2P/in-app monetization experiences.
— Experience in gaming industry or with game developers/publishers.
— Ability to write functional front-end code (HTML/CSS/JS/React) to build prototypes independently.
— Deep craft in interaction design, motion, design systems; experience with design systems.
— Broad understanding of modern product architecture (APIs, client–server, microservices, cloud).
— Experience with no-code/low-code tools (Webflow, Retool, Zapier).
— Experience in fast-paced startup or scale-up environments.
— Familiarity with growth design principles (conversion optimization, funnel analysis, pricing presentation).
— Additional language skills relevant to key markets (e.g. Russian, Malay, Chinese).
Salary
$65,000 - $80,000 a year
Benefits
— 100% company-paid medical, dental, and vision plans.
— Unlimited Flexible Time Off.
— Personalized career roadmap.
— Professional development through training and educational opportunities.
Equal Employment Opportunity Statement
Xsolla is an equal opportunity employer committed to diversity and inclusion.
Criminal History Consideration
Background check including criminal history, employment and education verification due to role responsibilities.
Rights Under the Fair Chance Act
Applicants encouraged to inquire about their rights; contact careers@xsolla.com for questions.
Use of AI tools in hiring process with final decisions made by humans.
УдалённоseniorRemote, Singapore
United Kingdom
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