Location: Tokyo, Japan
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
In this role, you'll lead a team of Account Executives driving the adoption of safe, frontier AI with top enterprises across Japan. This role is critical to Anthropic's Japan expansion.
You'll leverage your leadership expertise to propel revenue growth while developing a high-performing team. Working closely with Applied AI Engineering, Product, GTM, and Marketing teams, you'll help enterprise customers deploy AI solutions and refine our market positioning for Japan.
The ideal candidate will have a deep understanding of Japanese business culture, a passion for developing people, and the ability to navigate Japan's consensus-driven sales environment.
Responsibilities:
Build and lead a high-performing team of Account Executives, providing coaching, mentorship, and guidance to drive team success
Develop and implement sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed team revenue quotas
Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems
Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with focus on Japanese enterprise buying cycles and decision-making processes
Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales
Enable your team to have credible technical conversations about AI applications while maintaining appropriate guardrails
Build strong partnerships across the organization to drive strategic initiatives
Identify and execute on new market opportunities and use cases for Anthropic's AI solutions across enterprise segments
Help your team navigate complex enterprise stakeholder ecosystems including executives, IT departments, and procurement offices to build consensus
You may be a good fit if you have:
10 years of enterprise sales experience, preferably driving adoption of SaaS or emerging technologies
3+ years of sales leadership experience within the Enterprise segment
Proven track record of building and leading high-performing sales teams selling into large enterprises, with demonstrated success in coaching and developing AEs
Experience establishing and scaling sales processes, tools, and methodologies in fast-growing organizations
Strong technical acumen with ability to enable credible AI conversations
Track record of successful partnership with technical teams throughout the customer journey
Deep understanding of enterprise buying cycles, procurement frameworks, and common pain points across industries
Demonstrated ability to navigate complex, multithreaded sales cycles across diverse stakeholder groups and drive cross-functional initiatives
Experience managing complex enterprise sales cycles and helping AEs secure strategic deals
Excellent communication skills and ability to build relationships across all levels, from individual contributors to C-suite executives
Strategic approach to market analysis combined with tactical excellence in execution
Passion for AI technology and commitment to its safe, responsible development
Business-level Japanese required; English proficiency strongly preferred
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: Dhahran, Saudi Arabia
We are seeking an experienced
Enterprise Architect
to define, develop, and govern the enterprise architecture strategy, frameworks, standards, and roadmaps, ensuring alignment between business objectives, technology capabilities, and organizational priorities.
The role will drive enterprise-wide architecture across computing and cloud platforms, communications and network infrastructure, data and artificial intelligence, cybersecurity, and business architecture. The successful candidate will provide architectural leadership, establish target-state architectures and reference designs, and ensure that enterprise solutions are scalable, secure, resilient, compliant, and aligned with the organization’s strategic goals.
Key Responsibilities
Define and maintain enterprise architecture frameworks, principles, standards, reference architectures, and technology roadmaps aligned with business strategy.
Lead the design and evolution of enterprise technology architectures covering on-premises infrastructure, private and public cloud, high-performance computing (HPC), AI infrastructure, and enterprise platforms.
Develop communications architecture across data networks, transmission networks, and satellite communications.
Establish enterprise data architecture and governance frameworks, enabling trusted analytics, artificial intelligence, machine learning, and MLOps capabilities.
Define and govern cybersecurity architecture to ensure the protection of enterprise systems, infrastructure, applications, and data in accordance with applicable security controls and standards.
Translate business strategy, operating models, and business processes into architecture artifacts that support enterprise transformation and technology alignment.
Provide architectural assurance and governance for major programs, projects, and technology solutions, ensuring compliance with approved standards and design principles.
Identify technology opportunities, assess emerging technologies, and recommend solutions that enhance operational efficiency, scalability, resilience, security, and business value.
Collaborate with business stakeholders, technology teams, cybersecurity specialists, and program leaders to ensure cohesive, integrated enterprise solutions.
Maintain architecture documentation, identify capability gaps, and develop transition roadmaps to support the organization’s target-state architecture.
Qualifications and Experience
Bachelor’s degree in Computer Engineering, Computer Science, Business Management, or a related discipline; a Master’s degree is preferred.
10 to 15+ years of relevant professional experience in enterprise architecture, technology architecture, infrastructure, communications, data and AI, cybersecurity, or business architecture.
Demonstrated experience developing enterprise architecture strategies, target-state designs, standards, governance frameworks, and implementation roadmaps.
Strong understanding of enterprise technology environments, business capabilities, architecture governance, and technology-to-business alignment.
Proven ability to lead cross-functional architecture initiatives and engage effectively with senior stakeholders.
Excellent analytical, strategic planning, communication, and stakeholder management skills.
Location: Almaty, Kazakhstan
Workplace: OnSite
Almaty, Kazakhstan · Trust & Safety Engineering
Why this role exists
Higgsfield builds tools for AI creators: creative workflows, collaborative projects in Cinema Studio, and a community for sharing work. We need a backend engineer who combines deep database and architecture expertise with the initiative to own product outcomes, from the first idea to production.
What you'll actually do
- Build AI creation workflows, Cinema Studio collaboration, and community features: sharing, discovery, contests, profiles, and follows.
- Own features and bugs through release and follow-up. Define API contracts and coordinate frontend work to deliver the complete feature.
- Deliver responsive UX: live progress, timely updates, and clear failure recovery, even when it takes more engineering effort.
- Remove database and service bottlenecks under high traffic; improve correctness, latency, and reliability.
- Define success metrics, build dashboards and alerts, and track adoption and system health after launch.
Must-haves
1. Deep database expertise: data modeling, indexes, query plans, partitioning, transactions, and locking. You diagnose production bottlenecks and understand the trade-offs behind your fixes.
2. Strong architecture judgment: service boundaries, APIs, asynchronous workflows, caching, and failure handling. Hands-on Kubernetes and CI/CD experience, from design and testing to deployment and debugging.
3. A track record of shipping and operating backend systems across multiple projects, including high-traffic workloads. You can explain your decisions and measurable results.
4. API security: authentication, object-level authorization, and tenant isolation. You prevent IDOR in reads and writes, including resource IDs in request bodies, and test access across users and workspaces.
5. You've built or studied social networks and collaborative tools, and can explain design trade-offs in feeds, follow graphs, notifications, sharing permissions, real-time sync, and concurrent edits.
6. High agency and ownership: you find worthwhile problems, propose improvements, remove blockers, and follow through without waiting for assignments.
7. Low ego: you welcome direct feedback, admit mistakes, change your mind with evidence, and help wherever the team needs you.
8. Ambition and optimism: hard goals and rapid growth energize you. You challenge assumptions constructively and commit to making ambitious ideas work.
9. Energy for an intense pace, shifting priorities, and urgent launches or production issues that can require work outside regular hours.
Our tech stack
- Languages and frameworks: Python (FastAPI), Go (Gin), and TypeScript (React/Next.js on the frontend).
- Data: PostgreSQL and Redis; analytical databases such as BigQuery or ClickHouse.
- Messaging: Kafka, Amazon SQS, and RabbitMQ; event-driven services and asynchronous workers.
- AWS: S3, DynamoDB, ECR, and Secrets Manager.
- Infrastructure: Docker, Kubernetes on Amazon EKS, Helm, Argo CD, and GitHub Actions.
- Observability: Prometheus, Grafana, OpenTelemetry, and Sentry.
Interview process
1. Recruiter screen: role expectations, logistics, and fit.
2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you.
3. Additional technical interview, if needed: a deeper discussion of technical skills and open questions.
4. Product fit interview: turn a user problem into a small first release, decide what to leave out, and explain how feedback would change the solution.
5. Offer.
What we offer
Competitive base in USD, equity, relocation support, and ownership of product experiences that directly shape how people create with AI.
🔥Проект - Building and scaling a multi-asset trade and portfolio management platform with strong backend focus including designing, developing, and maintaining backend services, APIs, and data pipelines.
Who We Are:
At Yuno, we build payment infrastructure enabling companies to participate in the global market. Founded by experts from payments and tech industries, our technology provides access to leading payment capabilities, allowing companies to engage customers confidently and maintain global operations through seamless integrations. We empower teams at brands like InDrive, McDonald's, Rappi, and Viva Aerobus to integrate over 1,000 payment methods via a single API. Using advanced AI and latest technologies, we orchestrate smart routing and fraud prevention across 80+ countries.
About The Role:
We seek a Technical Account Manager to own and elevate Yuno's technical customer relationships across Latin America. This leadership role requires deep technical expertise, team inspiration, customer trust-building, and driving impactful outcomes. You will be the senior technical voice for strategic accounts in the region and set standards for technical partnership at Yuno. Daily, you will lead a team of TAMs while addressing complex customer challenges. LATAM is a fast-growing payment ecosystem with unique local nuances and high-stakes integrations, rewarding precision and resilience under pressure. This role is central to Yuno's cross-functional engine, collaborating closely with Product, Development, Sales, and Partnerships teams to translate customer insights into improvements and ensure internal teams have necessary context. You will define best practices, scale the TAM function, and ensure quality and reliability in integrations.
Your contribution will be:
— Serve as senior technical contact for strategic accounts, managing escalations and resolving complex integration challenges
— Lead high-level discussions with customer leadership on technical strategy, product trade-offs, incident management, and risk mitigation
— Define and implement best practices for technical onboarding, integration delivery, and account health monitoring
— Build deep knowledge of customers' business models, technical stacks, and operational needs to unlock value proactively
— Partner with developers and senior engineers to provide strategic technical guidance and support solution design
— Collaborate with Product and Development teams to customize platform capabilities and feed customer insights into the roadmap
— Work cross-functionally with Sales, Partnerships, and Finance to support account retention and regional growth
— Monitor integration progress and ramp-up milestones across the team, ensuring consistent and high-quality delivery
— Champion the LATAM customer base internally, bringing regional intelligence into Yuno's strategic conversations
Skills You Need:
Minimum Qualifications:
— Fluency in English and Portuguese is a plus; Spanish is a plus
— 5+ years experience in technical account management or integration engineering, preferably in fintech or payments
— Proven track record of leading or mentoring technical teams
— Strong understanding of RESTful APIs, SOAP, JSON, XML, and API management tools such as Postman, SoapUI, or Swagger
— Proficiency in web fundamentals: HTML, CSS, JavaScript, RESTful APIs, and modern frameworks
— Hands-on experience in at least one server-side language: Golang, Python, Node.js, or equivalent
— Familiarity with server and database technologies including Apache, Nginx, MySQL, Oracle, PostgreSQL, MongoDB, or similar
— Strong analytical, problem-solving, and project management skills
— Excellent organizational skills managing multiple accounts, team priorities, and concurrent projects
— Clear and compelling communication with technical and non-technical stakeholders at all seniority levels
— Experience with ticketing systems is a plus
What We Offer at Yuno:
— Competitive Compensation
— Remote Work – work from anywhere
— Home Office Bonus – one-time allowance for home office setup
— Work Equipment
— Stock Options
— Health Plan wherever you are
— Flexible Days Off
Location: San Francisco, CA | New York City, NY | Washington, DC
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 Integrity and Authenticity Policy Manager, you will be responsible for developing, refining, and maintaining policies that prevent the misuse of AI systems for deception, manipulation, and unauthorized monitoring at scale. You will serve as the policy owner for risks related to inauthentic behavior, influence activity, surveillance, and the profiling of individuals and groups, and you will help shape policy frameworks across several areas, including authenticity, information integrity, and privacy and surveillance.
Your initial focus will be on translating the Integrity and Authenticity risk framework into clear, enforceable policies, ensuring policy language addresses emerging threats identified by partner teams, and establishing guidelines that enable consistent enforcement decisions. Many of the most serious harms in this space begin with upstream steps that look routine on their own, such as compiling records about a person, automating account creation, or sorting users by inferred identity. Part of your work will be defining where those steps become prohibited. The role will expand as AI capabilities advance. Safety is core to our mission. You will help ensure our products cannot be used to deceive people at scale, monitor and profile people without their knowledge or consent, or sort and target populations based on sensitive characteristics.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature, as well as detailed descriptions of privacy violations, surveillance abuses, and deceptive campaigns targeting vulnerable people.
Key responsibilities
Develop and define policy boundaries for covert monitoring, tracking, and surveillance across different contexts, drawing the distinction between malicious behaviors and compliant dual-use scenarios
Write policy guidance on facial recognition, voice cloning, and geolocation inference, specifying which uses require consent and which are prohibited outright
Map the surveillance lifecycle, from target selection and data collection through analysis and covert deployment, and define the policy line at each stage so that interventions can occur early in the chain
Design and oversee evaluations that measure the model's capability to support social media monitoring, people-finding, predictive profiling, and the identification or tracking of specific people, to build, develop and improve safeguards with cross-functional partners to prevent malicious behaviors
Write and refine external-facing Usage Policy language and develop training guidelines, assessment rubrics, and evaluation protocols for enforcement teams, with emphasis on indicators of covert monitoring and population-level targeting
Validate enforcement decisions and automated assessments, provide policy guidance on complex edge cases such as investigative research into surveillance tools, coordinate with civil society, privacy experts, threat intelligence researchers, and academics, and serve as the escalation point for complex integrity and surveillance cases
Minimum qualifications
Working knowledge of how deceptive campaigns and covert monitoring operate in practice, including account networks, bot operations, data aggregation pipelines, and attribution methods
Familiarity with surveillance technologies and their misuse, including social media monitoring tools, people-search services, location tracking, spyware, facial recognition, and open-source intelligence techniques used against individuals
General knowledge of the global regulatory landscape around data protection, privacy, platform regulation, and digital services accountability
Strong policy writing skills, with the ability to translate complex threat frameworks into clear, enforceable guidelines
Experience designing policies and workflows that enable both clear human enforcement decision-making and technical implementation in ML classifiers and detection pipelines
Strong collaboration skills and extensive experience partnering with Engineering, Data Science, Legal, Threat Intelligence, and Policy teams on cross-functional initiatives
Excellent written and verbal communication skills, with the ability to explain deceptive tactics, surveillance methods, and policy rationales to diverse audiences, including non-specialists and policymakers
Preferred qualifications
5+ years of experience in policy development, trust and safety, threat intelligence, or platform integrity, with hands-on work on inauthentic behavior, surveillance-related abuse, or data misuse
Experience in privacy policy, privacy engineering, or data protection work, including familiarity with privacy impact assessments and data minimization principles
Experience in intelligence roles, state-aligned monitoring operations, or covert data collection campaigns
Experience investigating inauthentic networks, covert monitoring, or surveillance abuses at a platform, research organization, or government body
Background in digital forensics, open-source intelligence, or threat attribution
Knowledge of persuasion theory, cognitive biases, and deceptive communication techniques, including social engineering and pretexting methods
Familiarity with human rights and privacy frameworks as they apply to surveillance, including protections for journalists, activists, and marginalized communities
Experience with trust and safety operations involving content moderation evasion, bot detection, or platform scraping enforcement
Experience working with EU institutions, regulatory bodies, or policy organizations on AI governance or digital platform regulation
Experience conducting adversarial testing, red teaming, or vulnerability assessments for AI systems or platforms, particularly for misuse involving monitoring or profiling
Familiarity with generative AI capabilities and an understanding of how LLMs can be used for synthetic personas, social engineering, predictive profiling, or surveillance at scale
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:
$245,000
—
$285,000 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: São Paulo, Brazil
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
OKX Brazil is building its finance function from the ground up while preparing for supervision by the Central Bank of Brazil (BCB) under the new virtual asset service provider (SPSAV/PSAV) framework. We are looking for a Finance & Accounting Analyst to join our Brazil team and take ownership of core day-to-day accounting, accounts payable, and tax-compliance operations.
You will work alongside the Senior Finance Manager and the Finance & Accounting Specialist, in a role where accuracy, documentation, and discipline matter. Our books will soon be reviewed by a regulator, not only by auditors. This is a strong opportunity for someone early in their career who wants hands-on exposure to financial regulation, crypto, and Brazil’s tax reform.
What You’ll Be Doing
Accounting & Month-End Close
Prepare monthly close activities, including journal entries, account reconciliations, accruals, prepayments, and recurring accounting schedules.
Prepare and review intercompany journal entries and reconcile intercompany balances with affiliates to ensure accuracy and consistency.
Maintain close checklists and supporting documentation in FloQast and NetSuite, meeting group reporting deadlines.
Support the local Portuguese-language books, helping keep entries aligned with Brazilian GAAP and the BCB chart of accounts (COSIF) as we prepare for regulated status.
Accounts Payable & Expense Management
Process vendor invoices, employee reimbursements, and weekly payment batches in line with internal policies and approval matrices.
Validate vendor documentation and apply the correct tax treatment before payment.
Review withholding taxes on vendor payments (IRRF, PIS/COFINS/CSLL, INSS, ISS), and keep payment files and supporting documents audit-ready.
Tax Compliance Support
Issue electronic invoices for company operations, ensuring accuracy and compliance with municipal and federal requirements.
Support the monthly review of VAT and CIT calculations and maintain supporting documentation.
Support tax-to-accounting reconciliations and coordinate with our outsourced accounting firm on filings and information requests.
Help us follow and prepare for the Brazilian tax reform (IBS/CBS) transition, including the impact on invoicing, vendor payments, and ERP configuration.
Audit & Controls
Support external audit and group-level audit requests: prepare PBC lists, schedules, and reconciliations.
Follow documented controls and flag exceptions or gaps. Contribute to SOPs and process improvements as we build a controlled environment suited to a regulated entity.
What We’re Looking For
Bachelor’s degree in Accounting (CRC registration is a plus).
3+ years of experience in accounting, preferably in financial services, fintech, crypto, or big 4.
Solid knowledge of IFRS and BR GAAP/CPC. Familiarity with tax is a plus.
Hands-on experience with month-end closing, reconciliations, and AP processes.
Strong attention to detail, a sense of ownership, and the discipline to document your work.
Intermediate-to-advanced Excel (pivot tables, lookups); Power Query is a plus.
Hands-on, responsible use of AI tools to improve speed and quality of work, while validating outputs and protecting sensitive data.
Professional proficiency in English: you will work daily with international teams and prepare documentation for the group in English.
Comfortable working in a fast-paced environment with international teams across time zones.
Nice to Have
Experience in an institution regulated by the BCB or familiarity with COSIF.
Exposure to crypto or digital assets, or interest in learning about them.
Experience with NetSuite, FloQast, or similar ERP/close tools.
Exposure to intercompany transactions or transfer pricing.
Experience with external audits.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependents
More that we love to tell you along the process!
#LI-SK1
#LI-HYBRID
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: New York; San Francisco Bay Area, California; Connecticut
Workplace: hybrid
Provectus is a Premier AWS Partner and an Anthropic Strategic Partner, featured in Forrester's AI Technical Services Landscape. We are roughly 420 engineers building production AI for enterprise clients in Financial Services, Insurance, Healthcare and Life Sciences, Retail, and Entertainment. We build custom generative AI and agentic AI systems on live client data, not off the shelf products and not demos.
We are hiring a Senior Solution/Product Owner for our AI Delivery practice, a forward deployed seat at the intersection of frontier AI and enterprise transformation. You will own both the story and the delivery for client engagements built on Cowork Activation, Agentic SDLC with Claude Code, and Blueprint Activation. In one week you might frame an ROI case for a CFO, align a healthcare or financial services stakeholder on a compliant GenAI rollout, and pair with a Forward Deployed Engineer to wire an MCP integration or ship a Claude Code harness.
What You Will Do:
Own client engagements end to end, from use case framing and business case through scoped delivery, first deployment, and measurable results
Define the value proposition, positioning, and reusable artifacts for your assigned Program or Blueprint, and align sales, delivery, and account teams around them
Build business cases covering market fit, ROI, and competitive positioning, and translate them into scoped statements of work
Run discovery, use case validation, design thinking workshops, and user research, and turn findings into demos and production deployments
Stand up Cowork Activation, Agentic SDLC with Claude Code, or Blueprint Activation on live client data, driving rapid prototyping from use case to context to result
Build hands on with the Provectus delivery stack, including Claude, Claude Code, MCP servers, connectors, Skills, and plugins
Define product vision and roadmap for GenAI, LLM, RAG, and agentic AI engagements, and judge solution quality alongside architects and engineers
Break complex work into incremental releases, and balance delivery speed against technical debt and architecture
Lead Agile and Scrum execution across backlog, sprint planning, and release, following our Sprint, Enable, Realize engagement model
Define success metrics and analytics, and drive continuous improvement through root cause analysis
Contribute to the measurement framework behind our board level AI Maturity Index, ROI signal, and cost read
Support change management, stakeholder alignment, enablement, and reusable playbooks so wins repeat across accounts
What You Will Bring:
5 to 7+ years in product ownership, solution ownership, technical product management, or delivery leadership
3 to 5+ years working with AI/ML, generative AI, LLM applications, agentic systems, or data platforms
Deep domain expertise in Financial Services and Insurance and/or Healthcare and Life Sciences, ideally in a client facing or consulting context
Track record operating forward deployed or embedded with clients, as a Forward Deployed Engineer or Forward Deployed Expert, including hands on prototyping
Proven ability to take an offering, program, or product from zero to one and land it as real client delivery
Daily working use of Claude, Claude Code, and similar GenAI tools, including building your own skills, workflows, and productivity tooling
Comfort with MCP (Model Context Protocol) integrations, connectors, and custom agent harnesses
Understanding of GenAI and agentic patterns, including prompt engineering, RAG, embeddings, vector databases, and agent frameworks, deep enough to assess quality and translate it for executive stakeholders
Data fundamentals: what ETL/ELT, data modeling, and data governance mean in an enterprise context
Familiarity with AWS as a primary cloud platform, including Bedrock, and working awareness of MLOps and AI observability
Strong Agile and Scrum experience, and familiarity with outcome based, milestone priced consulting engagements
Design thinking, data driven decision making, and executive storytelling that holds up in front of a CFO or CIO
Enough engineering empathy to earn credibility with senior engineers and solutions architects on day one
Bias to action and structured problem solving in ambiguity
Based in the San Francisco Bay Area or New York City metro area, and authorized to work in the US without sponsorship
Nice To Have:
A second priority vertical beyond your primary Financial Services or Healthcare focus
Prior experience in an AWS Premier Partner or Anthropic partner environment
Claude Certified Architect, Seller, or Developer certification, or willingness to complete one early
Certifications such as CSPO, SAFe PO/PM, or AWS, Azure, or GCP
Software development or solutions engineering background
What We Offer:
Base salary range of $140,000 to $180,000 USD depending on experience
Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare
The chance to shape how leading enterprises adopt AI, from strategy through first deployment
A forward deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Health, dental, vision, and 401(k) with company match
Unlimited PTO
Access to the latest AI tools and premium subscriptions
Internal training programs with full support for AWS and Claude certifications
Hybrid work in San Francisco or New York
Location: New York, New York, United States
About the Role
iCapital is seeking a Corporate Anti-Money Laundering (AML) Oversight Vice President to join its Regulatory and Compliance organization and support the AML team. This individual will serve as a senior subject-matter expert responsible for providing oversight of AML controls across applicable U.S. and international businesses. This role will partner closely with Legal, Compliance, Risk, business stakeholders, and other control functions to assess regulatory requirements, oversee the effectiveness of the AML control environment, identify emerging risks, and support the firm's ongoing regulatory readiness.
Responsibilities
Support the oversight, maintenance, and ongoing enhancement of the firm’s U.S. AML/CFT compliance framework, including policies, procedures, standards, internal controls, governance, and monitoring.
Monitor developments involving applicable BSA, FinCEN, OFAC, SEC, and FINRA requirements and translate regulatory changes and emerging expectations into practical enhancements to the firm’s AML control environment.
Provide AML subject-matter expertise and guidance to Compliance, Legal, Risk, Operations, Product, Technology, and business stakeholders.
Evaluate new products, services, distribution arrangements, client relationships, and business initiatives for potential AML/CFT and sanctions implications and recommend appropriate risk mitigation.
Facilitate enterprise and business-specific AML/CFT risk assessments, identify control gaps and enhancement opportunities, and establish oversight metrics and management information to monitor trends and areas requiring escalation.
Provide Compliance oversight of higher-risk customer, investor, intermediary, and counterparty relationships, including AML/KYC escalations involving sanctions exposure, politically exposed persons, adverse media, complex ownership structures, jurisdictional risk, and other elevated financial-crime concerns.
Advise stakeholders on enhanced due diligence, risk mitigation, escalation, and disposition, and support investigations involving potentially unusual or suspicious activity through the firm’s established SAR governance process.
Assist with senior-management and committee reporting on AML risk, regulatory developments, significant issues, remediation initiatives, and program effectiveness while maintaining clear documentation of the firm’s AML governance and oversight framework.
Coordinate and support AML-related regulatory examinations, internal audits, independent testing, compliance reviews, and regulatory information requests, ensuring responses and supporting documentation are complete and appropriately supported.
Provide oversight of third parties performing AML/KYC activities, including developing risk-based due diligence, monitoring, and testing standards and assessing policies, controls, staffing, systems, screening practices, escalation processes, and regulatory adherence.
Escalate material third-party or program deficiencies and oversee corrective-action and remediation plans in coordination with relevant Compliance, Operations, Legal, Technology, and business stakeholders.
Support the development and delivery of risk-based AML/CFT training and targeted guidance on regulatory expectations, emerging financial-crime risks, escalation requirements, and AML red flags to promote consistent application of AML standards across U.S. businesses.
Qualifications
10+ years of relevant experience in AML and BSA, financial crimes, regulatory compliance, or related risk-management roles within financial services
Bachelor's degree is required; JD, advanced degree, or other relevant professional certification is a plus
Significant experience within a broker-dealer, investment adviser, asset manager, private funds organization, bank, or comparable regulated financial institution
Strong working knowledge of the Bank Secrecy Act, USA PATRIOT Act, FinCEN regulations and guidance, OFAC requirements, FINRA AML requirements, and relevant SEC requirements and expectations
Experience assessing complex legal entities, private investment structures, funds, financial intermediaries, or institutional relationships strongly preferred
Able to interpret regulatory requirements and translate them into practical controls and governance standards
Strong written and verbal communication skills with the ability to communicate complex regulatory matters to senior management and business stakeholders
Demonstrated ability to challenge existing processes constructively and drive remediation across multiple functions
CAMS certification is strongly preferred
Benefits
The base salary range for this role is $155,000 to $180,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.
For additional information on iCapital, please visit
https://www.icapitalnetwork.com/about-us
X: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
| Awards Disclaimer:
https://www.icapitalnetwork.com/about-us/recognition/
iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Location: United States
What The Role Is
Babylist Media sells onsite and offsite advertising to the brands that growing families rely on. This role owns the supply side of that business: our Koddi ad stack, how onsite inventory is structured and served, how it's monetized, and how campaigns are distributed offsite. It's a new role. Until now, this work has been split across several people, and no one has owned it end to end. You'll report to the Director of Revenue Operations. You'll lead offsite media support and our outsourced onsite ad ops partner, and you'll still be hands-on in the ad server yourself.
Who You Are
You have sell-side experience
: you've worked at a publisher or retailer that owns and monetizes its inventory
You've administered an ad server hands-on
: line items, targeting, priorities and delivery rules, recently enough that you can still do it yourself
You understand ad server logic and its tradeoffs
: priority tiers, how competing demand is decided, pacing, frequency and fill. You can explain why a campaign under-delivered
You've owned yield
: eCPM, fill, sell-through and utilization, and you've turned those numbers into inventory and pricing decisions
You've built inventory frameworks
: capacity planning, allocation and prioritization rules, and controls that prevent overselling
You've led people and partners while still doing hands-on work
: you've set priorities for a team or vendor and held them to standards, and you still configure campaigns yourself when a launch needs it
Retail media experience is a big plus
: our inventory sits next to registry and shop purchases, and Koddi is a retail media platform
You have working knowledge of the broader stack: DSPs, SSPs, programmatic, identity and measurement
Experience moving a direct-sold, flat-fee business toward CPM or programmatic selling is a plus
Familiarity with paid social distribution (Meta, TikTok, Pinterest, YouTube) sold as a media product is a plus
You can explain a technical tradeoff to Sales, Product and Finance in plain language and get a decision
You're comfortable moving between strategy, vendor management and troubleshooting in the same week. Parts of the stack are still manual, and you'll be defining the playbook, not following one
You naturally reach for AI in your work — at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next.
How You'll Make an Impact
Assess the current stack in your first 90 days and deliver an ad-tech, inventory and yield roadmap
Own Koddi configuration, serving logic and delivery health across onsite placements: Registry, Feed, Shop and more
Set the inventory rules for capacity, allocation and prioritization, and partner with Revenue Systems so Boostr and Koddi enforce them
Increase eCPM, fill and utilization from the supply we already have
Stand up the outsourced onsite ad ops partner: SLAs, QA standards and escalation paths
Lead offsite distribution strategy across Meta, TikTok, YouTube, Pinterest and Babylist Connect
Build incident response so delivery issues are caught before they turn into make-goods
Own the roadmap from flat-fee sponsorships toward CPM-based selling and, over time, self-serve buying
Why This Role
We need a hands-on experienced owner of ad tech, inventory or yield. You'll define the function instead of inheriting someone else's playbook
The business is moving from flat-fee placements toward CPM and self-serve, and you'll own the roadmap that gets it there
You'll set the strategy and lead the execution team, and you'll still work in Koddi yourself. It's a player-coach role, not a desk job reviewing other people's work
The inventory is first-party and high-intent: expecting and new parents shopping on registry and in the shop
About Compensation
We use a market-based approach to compensation. The starting salary range for this role is:
$143,963.00
to $
192,062.00
with an annual bonus range of 20% to 25%
Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity.
Who We Are
Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step.
Our Ways of Working
Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up.
Why You Will Love Working At Babylist
Our Culture
We work with focus and intention, then step away to recharge
We believe in exceptional management, and we invest in the tools and the time to connect with colleagues
We build products that positively impact millions of people's lives
AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts
Growth & Development
Competitive pay and meaningful opportunities for career advancement
We believe technology and data can solve hard problems
We're committed to career progression and performance-based advancement
Benefits
Company-paid medical, dental, and vision insurance
Retirement savings plan with company matching and flexible spending accounts
Generous paid parental leave and PTO
Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed
Remote work stipend to set up your office
Perks for physical, mental, and emotional health, parenting, childcare, and financial planning
Important Notices
Recorded Interviews.
Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription.
Interview Integrity.
AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles.
How We Review Applications
We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person.
Connections at Babylist.
If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone.
Protect Yourself from Scams.
All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.
Location: New York, NY (HQ)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Ramp's Financial Crime Compliance (FCC) team is looking for a senior investigator ready to shift from running cases to scaling the systems that run cases. You've built real depth in TM Alerts, AML Investigations, Complex Fraud, and EDD Reviews; you know what a good escalation looks like, where analysts get stuck, and where automation actually holds up in production versus just looks good in a demo. In this role, you'll spend most of your time partnering with Engineering and the Head of FCC Tooling to turn that judgment into scaled AI systems: testing model outputs, labeling and calibrating results, and making sure every automated decision point is well-documented and properly governed. You'll stay close enough to FCC's day-to-day workflows and will partake in some of them, but this is fundamentally a builder role.
WHAT YOU'LL DO
- Partner directly with Engineering and the Head of FCC Tooling on automation experimentation and AI initiatives across TM, sanctions, complex fraud, and EDD, moving prototypes from one-off calibration exercises to defined, repeatable evaluation processes.
- Design and run labeling and tagging workflows for model outputs (e.g., TM alert dispositions, sanctions/PEP hit review) building a structured, documented pipeline in place of today's ad hoc process
- Define and maintain test sets, scenario coverage, and evaluation frameworks for compliance AI/agent tools in partnership with the engineers building them
- Own the documentation and governance layer for every automated or AI-assisted decision point
- Work with the FCC team to understand current workflows to guide innovative solutions
- Recommend automation and AI adoption decisions with evidence and escalate control-posture or model-risk trade-offs to compliance leadership
WHAT YOU NEED
- 5+ years of financial services experience in compliance, AML, or related regulatory advisory roles, preferably in fintech
- Demonstrated senior-investigator experience across TM Alerts, AML Investigations, Complex Fraud, and EDD Reviews
- Direct experience testing, labeling, or evaluating AI/ML model outputs, or strong aptitude and demonstrated fast ramp-up if new to formal model evaluation
- Strong AI fluency and data analytics skills
- Comfort partnering with engineers day-to-day and ability to translate compliance judgment into build specs, test cases, and evaluation criteria engineers can act on
- Strong project management and documentation rigor
- Ability to scope an ambiguous automation problem, choose an approach, and deliver a durable outcome with minimal oversight
NICE-TO-HAVES
- Data science background
- Experience working with outsourced testing/QA partners on model tuning or signal collection
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: London, United Kingdom
Workplace: hybrid
About The Role:
We're looking for a Lead/Head of Transaction Monitoring (Enterprise) to own how Paysend detects suspicious activity across all products, corridors and payment methods, and to lead the TM Enterprise Program that modernises it.
Objective and Key Results
Objective (Q4 2026):
AI-Powered Enterprise Financial Crime: build scalable, risk-based transaction monitoring
Enterprise clients can submit legitimate transactions with minimal friction, suspicious transactions are correctly identified and declined, unnecessary RFIs are minimised, and transaction-monitoring performance is measurable and continuously optimised.
Metrics clearly separate client-generated risk, Financial Crime controls and downstream payout execution, so TM declines are not confused with prefunding, network or technical failures, and stages reconcile without double-counting.
Key Results you will be accountable for
% Confirmed Fraud Rate of Enterprise-Initiated Transactions:
Confirmed fraud transactions divided by total enterprise-initiated transactions, broken down by client, typology, transaction type and destination, and confirmed vs. suspected fraud. Gives clients an evidence-based view of the quality of the volume they submit.
% Legitimate Transaction Straight-Through Processing Rate:
Legitimate transactions processed without an RFI divided by total legitimate transactions submitted. The central measure of balance between risk protection and customer friction.
% Enterprise TM Decision Quality:
Combines confirmed-fraud prevention rate (stopped before payout), false-positive rate, and control coverage of material enterprise TM risks by documented, approved and tested controls.
% Enterprise TM Investigation Efficiency:
Median RFI time to resolution, % resolved within SLA, % with a clear documented decision, % outstanding beyond SLA, and RFI backlog and ageing.
What you will own
KRs and Initiatives:
Own and deliver the Enterprise TM KRs and Initiatives, from definition and prioritisation through delivery, measurement and reporting to senior leadership.
TM Enterprise Program:
Lead the TM Enterprise Program end to end: scope, roadmap, milestones, budget, dependencies, risks and governance.
TM framework:
Own the enterprise-wide TM framework: scenario and rule coverage, thresholds, risk-based calibration, model governance and the rule lifecycle (design, test, tune, retire).
Effectiveness and KPIs:
Own the KPI and MI framework for detection effectiveness, alert quality, false positives, SAR/STR conversion, alert volumes, SLAs and team productivity.
Regulatory assurance:
Ensure TM meets AML/CTF and regulatory expectations across all licensed jurisdictions, and own TM readiness for audits, regulator reviews and partner due diligence.
Team leadership:
Build, lead and develop a high-performing TM team spanning analysts, rule owners and data/automation specialists.
What you'll do
Define strategy and OKRs:
Set the enterprise TM strategy and multi-year roadmap, aligned to company OKRs and Paysend's financial crime risk appetite; translate it into measurable KRs and a prioritised initiative portfolio.
Drive delivery:
Lead initiative delivery as accountable owner: run planning, steering committees and status reporting; remove blockers, manage trade-offs and escalate material risks early.
Strengthen detection:
Oversee translation of typologies, risk assessments and regulatory change into detection scenarios and rules; ensure backtesting, simulation and impact measurement happen before release.
Optimise performance:
Drive tuning using alert, case and SAR feedback to improve catch rate and reduce noise, with clear trade-off thinking across risk, cost and customer friction.
Automate and scale:
Replace manual analysis and reporting with scalable pipelines and self-serve dashboards; apply advanced analytics and ML-based anomaly detection where they add value.
Collaborate:
Partner across the business:
Product and Engineering:
requirements, data needs, TM platform and rules-engine enhancements.
Compliance and MLRO:
policy alignment, risk assessments, regulatory reporting, audits and regulator engagement.
Network and Partners:
Visa and Mastercard program requirements, thresholds and monitoring; bank and partner due diligence.
Operations and Investigations:
alert-handling workflow, feedback loops, capacity and quality.
Data and Analytics:
data quality, lineage, model validation and reporting.
Govern and report:
Run the TM governance cadence: rule-change approvals, performance reviews, documented decisions and rationale, and regular reporting to senior management and committees.
Stay ahead of regulation:
Stay current on AML/CTF regulation, FATF guidance, PSD2/SCA and card scheme rules, and embed changes into controls and the roadmap.
Manage vendors and budget:
Manage vendor, tooling and budget for TM platforms, data sources and analytics.
What you'll need
Substantial experience in transaction monitoring and AML/financial crime, ideally in fintech, payments, money transfer or high-volume B2C, including leading a TM function or a large TM transformation.
Proven track record owning OKRs/KRs and delivering multi-stream programs or initiatives, with strong planning, prioritisation and senior stakeholder management.
Deep knowledge of TM scenario and rule design, tuning, threshold calibration, model governance and effectiveness testing, including backtesting and below-the-line testing.
Strong understanding of AML/CTF regulation and expectations (e.g., FCA, EU AMLD/AMLR, FATF) and experience supporting regulator and auditor reviews across multiple jurisdictions.
Solid grasp of fraud and financial crime typologies in cross-border payments, and awareness of emerging trends.
Working knowledge of Visa and Mastercard monitoring programs and payment methods (cards, tokenization, Apple Pay, Google Pay, A2A, wallets).
Data fluency: able to interrogate SQL/BI outputs, define KPIs and challenge analytical approaches; understanding of modern data platforms and automation.
Experience leading and developing teams, including hiring, coaching and building clear ownership models.
Ownership mindset: you spot problems, propose solutions and see them through without waiting to be asked.
Clear communication and documentation, able to explain risk and data-driven decisions to technical and non-technical stakeholders, including executives.
Nice to have
Experience with rules engines, decisioning platforms or TM vendor solutions (selection, implementation, migration).
Experience applying advanced anomaly detection (statistical, unsupervised or machine learning) to AML and fraud use cases, including model risk management.
Hands-on SQL/Python background and experience building BI dashboards (Looker, Tableau, Power BI or similar).
Familiarity with how financial crime operations run day to day, including case management and SAR/STR filing.
Relevant certifications such as ACAMS, ICA or equivalent.
What you'll achieve
First 3 months
Understand our products, corridors, TM framework, rules engine, data landscape and current KR/Initiative portfolio.
Assess current TM coverage, effectiveness and regulatory exposure; identify the highest-priority gaps.
Build relationships across Compliance, Product, Engineering, Network, Operations and Data.
Confirm the TM Enterprise Program plan, governance and a baselined KR scorecard.
By 6 months
Run the TM Enterprise Program on an agreed roadmap with clear ownership, milestones and steering cadence.
Launch a reliable KPI and MI suite for detection effectiveness, alert quality and team throughput.
Deliver the first material coverage and tuning improvements, with documented performance reviews.
Have the team structure and key hires in place.
By 12 months
Deliver the committed KRs and Initiatives, with measurable gains in detection effectiveness, false positive rate and operational efficiency.
Be the recognised owner of enterprise TM, with a clean audit and regulator-ready evidence trail.
Have introduced new detection approaches and automation that strengthen our compliance posture and scale with growth.
Why Join Paysend?
Make a Global Impact:
Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally.
Own Meaningful Outcomes:
We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand.
Grow with Us:
As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies.
Collaborate with Exceptional People:
Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers.
Move Fast and Make Things Happen:
We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results.
Be Part of Our Journey:
We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.
Location: Remote US; Remote Canada
Workplace: Remote
InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com http://www.influxdata.com.
As a Developer Advocate on our Developer Relations team within Marketing, you’ll make developers more productive and empowered by creating demos and technical content, giving talks, organizing meetups, and engaging with users online. You’ll represent InfluxData to the community and the community to InfluxData, working with Product and Engineering to align their efforts with what the community needs.
InfluxData is a company built by and for developers. The Developer Advocate on the Developer Relations team will be a leader who directly impacts our entire user community.
What you’ll be doing
- Become an authority on the InfluxDB platform, open source and commercial
- Help developers get started on InfluxDB and build their own solutions
- Establish a social media presence that represents InfluxData
- Encourage InfluxDB adoption through blogs, videos, and other content you create
- Be an active voice in Influx Community groups and Slack discussions
- Showcase InfluxData through regular talks at conferences, meetups, and online events
- Build and deliver technical training workshops on Influx software
- Support and empower our user community and reduce onboarding friction through code samples, debugging, direct partner engagement, prototypes and long-tail support channels (forums, office hours, blog posts, and more)
- Influence InfluxData’s product strategy as the developer’s advocate inside the company, working with Product Management, Engineering, PR, Marketing, Business Development, and other cross-functional teams
- Build relationships with technical experts and communities around other projects
What we’re looking for
- You’re a strong public speaker with experience presenting at conferences, meetups, or online events
- You have 2+ years of experience working with and supporting open source projects, developers, platforms, communities, or user groups
- You’ve built technology demos and examples that developers can follow
- You know software development and can learn new technologies and languages
Bonus points if you
- Have built and delivered technical training, both in person and online
- Have strong technical writing skills
- Have contributed code to open source projects
- Have hands-on experience with IoT and edge devices, protocols, and frameworks
- Have experience with Python, JavaScript, Java, or similar languages
- Have worked with or for database companies
Applications will be accepted on a rolling basis.
Interview Information:
Our interview process begins remotely. Interviews are typically conducted via Zoom. To ensure every candidate can participate, please let us know if you are unable to access Zoom. Some roles may require an in-person meeting with a team member as part of the final stage.
We offer fantastic benefits for full time employees; in the US these include:
- Medical/dental/vision insurance with 100% coverage for employees
- Company contribution to your FSA
- Flexible Time Off - take the time you need
- Life Insurance, short and long term disability insurance
- 401(k)
- Wellness programs
- Annual professional development budget
- Financial planning and legal advice
Our Core Values
Our employees are the heart of the company and only by having a core set of beliefs and values will we be successful. We hire and live by these core values:
- We value each other
- We get stuff done
- We believe humility drives learning
- We embrace failure
- We are committed to open source
Visit our careers page https://www.influxdata.com/careers/ to learn more about working at InfluxData.
InfluxData is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other categories protected by applicable law.
To view our Know Your Rights Poster click HERE https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf
To view our CCPA policies click HERE https://www.influxdata.com/wp-content/uploads/November-2023-InfluxData-Candidate-Privacy-Notice.pdf
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this website to apply for a vacancy as a result of your disability. You can request reasonable accommodations by reaching out to the recruiting team by emailing apply@influxdata.com.
InfluxData does not accept unsolicited resumes from headhunters and recruitment agencies through our website, job board or directly to employees. InfluxData will not pay fees to any third-party agency, headhunter or company that does not have a signed agreement for this position in place.
Beware of job scams and fraudulent offers! Our recruiters use @influxdata.com http://influxdata.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank accounts or social security numbers. If you have been contacted by someone claiming to be from InfluxData from a different domain about a job offer, please report it as potential job fraud to law enforcement and to jobs@influxdata.com.
Location: London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
As an ML (Machine Learning) Engineer at Checkout.com http://Checkout.com in the Disputes ML team, you will contribute to the development of our brand-new, ML-driven dispute optimisation suite. This is a unique opportunity to get in on the ground floor of an expanding area, grow alongside top-tier engineers, and make a tangible impact on millions of disputes.
You will be building solutions that power our stack of value added services in the Disputes area. We’re a growing team in an expanding area within the company and we’re looking for individuals who have strong ownership, are passionate about productionising ML and have a pragmatic approach to converting big problems into smaller iterations to constantly deliver value.
How you’ll make an impact
- Build systems for training, deploying and monitoring machine learning models used in our Disputes platform, at scale
- Build and optimize data pipelines and backend services to process dispute and payment data in real time
- Build and scale our feature store for use-cases both online and offline
- Take complete ownership of delivering comprehensive, end-to-end features within a startup-like setting, driving the entire lifecycle from requirement refinement, data pipeline construction and model training to troubleshooting and production deployment
- Turn raw data into production-ready features that feed our dispute systems
- Collaborate with platform and backend engineers to integrate models seamlessly
Experience and qualifications
- 5+ years of experience as MLOps /ML Engineer
- High proficiency in writing clear, production-ready Python code
- Experience with production ML models (online or offline) and standard MLOps practices
- Experience with monitoring and observability of production systems, with a strong sense of ownership
- Experience with training and operating models on Databricks
- Familiarity in Cloud-based application development (we use AWS & Azure)
- Familiarity with one or more ML frameworks and technologies: scikit-learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, Triton
- Strong communication skills, able to express ideas clearly and collaborate across teams
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: London
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.
Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.
LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.
About the role:
We’re hiring Sales Development Representatives to join our SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects.
You’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI.
What makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator.
What you will do:
- Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value.
- Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience.
- Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development.
- Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency.
- Use LangChain powered agents to test, learn, and improve prospecting strategies
How to be successful in this role:
- 1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career)
- Clear, confident communicator who can engage both technical and business audiences
- Motivated by learning, iteration, and experimentation you treat outreach like a craft
- Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way
- Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate
- Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction
Compensation & Benefits
- Compensation: We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.
- Annual On Target Earnings - 110,000 GBP (70/30 split)
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: EMEA - Remote
Please note that we are unable to consider applications from candidates based in France, Italy, or Germany for this role.
Money is moving onto the internet, and the shift has a name:
Open Money.
This is money that is open, portable, agentic, and owned by you. MetaMask spent the last ten years building it; with 100M+ downloads, users in ~190 countries, and trillions in cumulative transaction volume, it's the most trusted self-custodial financial platform on the internet. Now we're building the operating system for your money: one place to hold, move, grow, and use anything you own. Join a remote-first, global team rebuilding how money works: a problem that touches everyone, every day.
About the role
MetaMask is a self-custody wallet that does not hold users’ private keys. Blockchain transactions are generally irreversible, meaning a vulnerability in the product or its software delivery chain can lead directly to financial losses for users. As a result, MetaMask attracts sustained attention from financially motivated attackers and sophisticated supply chain actors.
We are looking for a
Senior Manager, Application Security
to lead application security across the MetaMask extension, mobile app, Snaps, backend services, DeFi primitives, stablecoins, and supporting smart contracts.
The role covers architecture, code, dependencies, build and release controls, security testing, and vulnerability disclosure. This is a hands-on leadership role. You will set the strategy and operating model, lead a small senior team, and remain directly involved in code review and threat modelling.
You will report to the Head of Security and work closely with MetaMask Engineering leadership to ensure security risks are understood, owned, and addressed.
Responsibilities
Leadership and planning
Lead and develop the Application Security team, including hiring, performance management and career development, while remaining directly involved in technical work.
Set the Application Security strategy, annual goals and quarterly OKRs in line with company objectives and the approved Target Operating Model. Define and track KPIs to measure performance and progress.
Report AppSec progress, coverage, remediation performance and material gaps to Security leadership and contribute to Risk Committee reporting.
Secure design and delivery
Define security review requirements across development and release, assess whether they are met and escalate unresolved risks.
Lead threat modelling and security design reviews across clients, APIs and backend services, including authentication, key management, signing and delegated actions. Assess trust boundaries across the full system and participate in architecture and RFC reviews.
Define software supply chain security requirements and work with engineering teams to implement and validate controls for dependencies, builds, artefacts and publishing.
Lead security code reviews across MetaMask applications and smart contracts, working with engineers and relevant specialists to address findings.
Define and evolve the secure development lifecycle to incorporate AI agents, including their access, actions and human review requirements. Set security standards for AI development tools, generated code and AI components in products.
Integrate security testing into development and delivery workflows, including static and dynamic analysis, dependency scanning, secrets detection and AI scanning. Evaluate tools and validate their findings.
Help engineers prevent recurring vulnerabilities through secure coding guidance, reusable libraries, training and the security champions programme.
Vulnerability management and external testing
Own application vulnerability assessment, triage, prioritisation and remediation tracking within the organisation’s vulnerability management framework. Correlate findings across clients, services and supporting infrastructure with the relevant owners to assess combined impact. Ensure findings have clear owners and deadlines, verify fixes and escalate overdue risks.
Set the scope and proposed investment for bug bounty, penetration testing and AI security scanning based on risk and results. Manage external providers, researcher relationships, rewards and payouts, and coordinate vulnerability disclosure.
Assurance and incident support
Provide evidence of application security controls for audits and assurance reviews, and support customer and partner due diligence.
Provide application security expertise during incidents, including vulnerability analysis and remediation support.
Qualifications
Required
:
At least eight years in application security or software engineering with a security focus, including two years leading people.
Strong practical code review skills in TypeScript/JavaScript, Go or Solidity across browser extensions, mobile applications and backend services, with the ability to identify vulnerabilities and work with engineers to fix them.
Proven experience securing applications across clients and backend services, including distributed authentication, authorisation and key management.
Experience building or substantially improving an AppSec programme, including security reviews, automated testing, AI scanning, vulnerability management and developer support, with sound judgement on where AI adds value and how to validate its findings.
Practical experience securing software supply chains, including dependency policies, software composition analysis, npm, artefact integrity and CI/CD.
Experience running bug bounty and penetration testing programmes, including selecting and managing external providers.
Working knowledge of EVM smart contract security, including common vulnerabilities, review methods, upgrade and admin controls, and assessing external audits.
A record of delivering security improvements through engineering teams outside your reporting line.
Clear written communication, from actionable threat models to concise summaries of risk for executives.
Preferred
:
Offensive security qualifications such as OSCP, OSWE or OSWA, or a proven record in bug bounty programmes or CTF competitions.
Experience securing browser extensions or mobile applications.
Experience securing development workflows that use AI, or AI components in production applications.
Experience in crypto, Web3 or another sector facing sustained attacks, such as fintech, payments or infrastructure.
Knowledge of or a strong interest in applied cryptography.
Familiarity with attacks by state actors against software companies, particularly DPRK supply chain and social engineering campaigns.
Experience providing evidence of secure development controls for SOC 2 or ISO 27001 assessments.
Don't meet all the requirements? Don't sweat it. We’re passionate about building a diverse team of humans and as such, if you think you've got what it takes for our chaotic-but-fun, remote-friendly, start-up environment—apply anyway, detailing your relevant transferable skills in your cover letter. While we have a pretty good idea of what we need, we're ready for you to challenge our thinking on who needs to be in this role.
In the rapidly evolving Web3 space, we believe that everyone is a builder. This expansive paradigm requires a range of backgrounds, talents, skills, and experiences to influence and shape the future. At MetaMask, this diversity fuels our ability to shift control and redefine the realm of possibility. We are committed to ensuring that our technology empowers people and communities through decentralized technologies. We welcome the range of perspectives and differences and celebrate them. We're excited to see how your unique skills as a builder can contribute to our vision, drive innovation, and help us shape a more inclusive Web3.
MetaMask is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law.
MetaMask is aware of fraudulent recruitment practices and we encourage all applicants to review our best practices to protect yourself, which can be found on our page.
MetaMask may use artificial intelligence (AI) tools to support parts of our recruitment process, such as reviewing applications, screening resumes, or conducting initial candidate assessments. These tools are designed to assist our recruiting team and improve efficiency — they do not replace human judgment. A human recruiter or hiring manager reviews every candidate, and all final hiring decisions are made by people, not AI.
It is a requirement of employment in this position that applicants may be required to submit to background and identity verification checks, including but not limited to employment, education, criminal record checks, and other such checks as determined necessary by the company.
Dhahran, Saudi Arabia
ОфисAlmaty, Kazakhstan; Competitive base in USD, equity, relocation support, and ownership of product experiences that directly shape how people create with AI
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
We are unable to provide visa sponsorship or relocation for this role
São Paulo, Brazil; Comfortable working in a fast-paced environment with international teams across time zones
ГибридseniorNew York; San Francisco Bay Area, California; Connecticut
New York, New York, United States
seniorUnited States
ГибридseniorRelocation expense coverage to NYC or SF (if needed)
ГибридleadLondon, United Kingdom
УдалённоRemote US; Remote Canada
ОфисseniorLondon
ОфисLondon
seniorГермания, Франция, Италия; Please note that we are unable to consider applications from candidates based in France, Italy, or Germany for this role; EMEA - Remote
