Location: 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 a member of the Applied AI team at Anthropic, you will be an Applied AI Engineer supporting a dedicated national security mission program. You will be the customer's trusted technical advisor, working closely with their engineering and mission teams as they build and ship new capabilities powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding them through the most cutting-edge implementation patterns for LLMs.
Working closely with our Sales, Product, and Engineering teams, you'll guide the customer from technical discovery through successful deployment, much of it on-site in secure environments. You'll combine deep engineering expertise and cyber domain knowledge with customer-facing skills to help the customer unlock the full potential of Claude and move their mission capabilities closer to the frontier, while maintaining our high standards for safety and reliability.
Responsibilities
Serve as a specialist technical advisor for one or more national security mission programs, from discovery and evaluation through deployment and adoption, coordinating internally across multiple teams to drive customer success
Support the customer as they build with Claude Code, the Claude API, and Claude for Enterprise
Partner with account executives and Applied AI Architects to translate mission requirements into technical solutions
Influence technical architecture decisions and integration into the customer's existing stack by developing customized pilots, prototypes, and evaluation suites
Help develop evaluation frameworks to measure Claude's performance for mission-specific use cases
Lead hands-on technical workshops and code reviews with customer engineering teams
Identify common design patterns and contribute insights back to our Product and Engineering teams
Create and deliver technical content, from engineering deep dives to executive briefings
Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks
Work primarily on-site with the customer's engineering and mission teams in secure government facilities, while maintaining close internal coordination and feedback with Anthropic's Applied AI and Engineering teams
Minimum qualifications
Active TS/SCI clearance with Polygraph
Prior experience working within US intelligence community agencies as a government civilian or cleared contractor
4+ years of experience in technical roles such as Forward Deployed Engineer, Product Engineer, Software Engineer, or Technical Product Manager, with a desire to work closely with customers
Strong programming skills with proficiency in Python or TypeScript and experience building production applications
Hands-on expertise in one or more of the following domains:
Offensive or defensive cyber operations (including vulnerability research, reverse engineering, and ICS/OT security)
Cryptography and cryptanalysis
Intelligence analysis and ISR (all-source, SIGINT, GEOINT)
Mission and weapons systems (command and control, space, electronic warfare, autonomy)
CBRN and nonproliferation
Accreditation of classified systems (RMF, ATO, cross-domain solutions)
Exceptional communication skills to convey technical concepts to diverse stakeholders, from engineers to executives, while maintaining a low ego and collaborative approach
Preferred qualifications
Production experience with LLMs, including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale
Experience deploying and operating software in air-gapped or classified environments
Experience designing scalable cloud architectures and integrating with enterprise systems
Background in artificial intelligence, machine learning, or data science
Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems
High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity
Passion for advancing safe, beneficial AI systems through creative technical applications
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
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:
$280,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Serbia; Greece; Romania; Malta; Estonia; Poland
Open to candidates across EU / EMEA time zones (UTC+0 to UTC+3)
FP Markets Group of Companies
is a well-established multi-regulated broker, founded in Australia, offering traders access to CFD trading on Forex, Indices, Commodities, Stocks and Cryptocurrencies. We are growing and looking to recruit a Full-time Paid Social & Mobile App Growth Manager.
You will own two of our biggest growth levers: paid social across web and app, and mobile app growth from install to first-time deposit (FTD). Sitting in the Growth Team (Global Paid Growth), you will set strategy, run a multi-channel budget and decide each month where spend goes, web sign-ups or app installs, based on cost per FTD and return on ad spend (ROAS). You will own the numbers from impression to FTD and beyond.
How success is measured
Leads and FTDs from paid social (web) and from the app, by source and region.
Cost per install, cost per registration and CPA per FTD against target, by region and platform.
Install-to-FTD conversion rate.
30 / 90-day ROAS on web and app cohorts.
Spend within the approved monthly budget.
App store conversion rate (page view to install), keyword rankings and average rating.
Responsibilities
Strategy and budget
Own the paid social and mobile app acquisition strategy, budget and forecast across all target regions.
Decide each month how spend splits between web and app objectives, based on cost per FTD, ROAS and install-to-FTD conversion.
Manage monthly budget pacing with Marketing Operations, reallocating spend weekly based on CPA, ROAS and cohort quality, and report performance against objectives.
Paid social (web and app)
Plan, launch and optimise paid campaigns across Meta, TikTok, Snapchat, X, LinkedIn and Reddit, for both web leads and app installs.
Own account structure, audiences, bidding and campaign naming across all paid social platforms.
Optimise beyond installs and leads to registration, KYC completion and FTD, using value-based and event-based bidding.
Run a continuous creative testing programme with the Creative and Content teams: briefs (video, playables, static, store assets), variants, learnings and fatigue tracking.
Mobile app acquisition
Plan, launch and optimise app install and in-app event campaigns across Apple Search Ads, Google App Campaigns (UAC) and selected programmatic / mobile ad network partners.
Source, onboard and manage app networks and agencies, with strict fraud controls.
ASO and organic app growth
Own App Store and Google Play optimisation: keyword research, metadata, screenshots, preview videos and localisation for priority languages.
Run store-listing experiments (Google Play Experiments, Apple Product Page Optimisation) and Custom Product Pages aligned to paid campaigns.
Grow ratings and reviews through in-app prompts and review management.
Drive web-to-app and cross-channel installs with SEO, Content, CRM and Partnerships (IB/affiliate) teams, including deep links and QR flows.
Measurement and attribution
Own mobile measurement through our MMP (AppsFlyer): SDK events, deep links, SKAdNetwork / AdAttributionKit, Google Privacy Sandbox for Android, and UTM / tracking-link standards.
Keep web (Meta Pixel / Conversions API) and app (MMP) attribution aligned and deduplicated, so paid social results are counted once.
Work with Data Engineering on cohort, CAC, LTV, ARPU and ROAS reporting (30- and 90-day) that ties installs and sign-ups to FTD and net deposits.
Keep event tracking, postbacks and attribution windows accurate across all partners.
Funnel and conversion
Partner with Product and Dev on onboarding, KYC and first-deposit flows in the app to lift install-to-FTD conversion.
Work with the CRM & Lifecycle manager (Salesforce Marketing Cloud) on push, in-app and email journeys for new app users.
Compliance
Ensure all ads and app store assets meet the requirements of each regulator (ASIC, CySEC, FSCA and others), platform ad policies for financial products, and Apple / Google app store guidelines, including risk warnings and country restrictions.
Out of scope
Organic social and community (Discord, Reddit communities, Telegram), owned by the Organic Social & Community Growth Manager.
Candidate profile
Must have
4+ years in paid acquisition, covering both paid social (Meta, TikTok and at least one other platform) and mobile app user acquisition.
Proven experience in online retail trading (FX/CFDs), iGaming or crypto: you understand regulated, high-CPA acquisition, deposit-driven funnels and the ad-platform restrictions these verticals face.
Hands-on ownership of a multi-channel paid budget of USD 250k+ a month.
Hands-on experience with Apple Search Ads, Google App Campaigns, MetaAds, LinkedIn, X and ASO, with proven results on both App Store and Google Play as well as driving Web/Desktop Leads and FTDs
Deep working knowledge of an MMP (AppsFlyer preferred), SKAdNetwork, post-ATT measurement and deep linking, plus Meta Pixel / Conversions API.
Strong analytical skills: cohort analysis, LTV modelling, incrementality thinking and ROAS-based budget decisions; comfortable in Excel / Google Sheets and BI dashboards.
Experience optimising to down-funnel events (registration, deposit), not just clicks or installs.
A track record of running structured creative testing at scale.
Fluent English, written and spoken.
Nice to have
Experience with programmatic and mobile ad networks.
Experience with Snapchat, Reddit and other social or new ad channels such as ChatGPT.
Knowledge of financial-promotion rules (ASIC, CySEC, FSCA) and Apple / Google policies for financial apps.
SQL or BigQuery; familiarity with Salesforce Marketing Cloud.
A second language relevant to our key markets (e.g. Spanish, Portuguese, Arabic, Chinese, Thai or Vietnamese).
Personal attributes
Commercial and numbers-driven: you decide on cost per FTD, not clicks or installs.
Comfortable owning a large budget and explaining every euro of it.
A fast tester who learns from failures and scales winners quickly.
Collaborative with Creative, Product, CRM and Data Engineering.
Our offer
A welcoming, young and multicultural team with approachable leadership.
Real autonomy over a large growth budget, and the chance to contribute to a dynamic business in a growth phase.
Support for your ideas and room to put your expertise into the company's best practices.
Continuous personal development, a training and development budget, growth with the company and the opportunity to learn from industry leaders.
Competitive remuneration, regular salary reviews and performance-based incentive schemes.
A vibrant company life: from team activities to global celebrations.
Journey to FP Markets
Interview with HR
Interview with the CMO
Interview with the Head of Trading Platform Development
Join our team and be a part of a professional, rapidly-growing company operating in a multicultural environment!
Location: Vienna, Austria
We currently have a vacancy for a Full Stack Developer fluent in English, to offer his/her services as an expert who will be based in Vienna, Austria. The work will be carried out either in the company’s premises or on site at customer premises. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team on site.
Your tasks
Develop and maintain full-stack web applications;
Build responsive web interfaces using Angular, TypeScript, HTML and CSS;
Develop backend services and Web APIs using C#/.NET or Python frameworks;
Design and work with relational databases, SQL Server and ORM frameworks;
Integrate APIs, data services and external systems;
Troubleshoot, optimize and maintain existing applications;
Collaborate with Agile development teams using Azure DevOps;
Contribute to code reviews, testing, documentation and continuous improvement.
Requirements
University degree in IT or relevant discipline, combined with minimum 6 years of relevant working experience in IT;
At least 3 years of experience in building web-based user interfaces using Angular with proficiency in TypeScript, HTML, CSS3, ASP.NET Core, ASP.NET MVC5 and/or Django, Flask, FastAPI with Python;
At least 3 years of experience in developing WebAPI backends with .Net/.Net Core framework and C#;
Experience in SQL Server 2019 and above;
Solid understanding of relational databases and related ORM frameworks;
Working in agile software development teams using Azure DevOps;
Experience building advanced analytical and statistical software solutions would be an asset;
Experience with consuming data from a data lake house or data services (Trino) would be an asset;
Experience with Docker and RabbitMQ would be an asset;
Experience with Event Sourcing systems would be an asset;
Excellent command of the English language.
Benefits
If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference:
(20787/10/2026).
We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential.
You may also consider all our other open vacancies by visiting the career section of our web site (
www.eurodyn.com)
and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (
www.eurodyn.com
)
is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 250 million.
EUROPEAN DYNAMICS
is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
EUROPEAN DYNAMICS (ED)
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in
www.eurodyn.com/privacy
. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.
Furthermore, when providing your data, it is up to you to explicitly consent that your data can be assessed for future job openings, for as long as you do not withdraw such consent. If you do not consent, we will not be able to consider the data you provide to us for future job openings.
Location: Tokyo, Japan
About Our Client
Our client is a leading global provider of technology-enabled outsourcing and business solutions, supporting organizations and customers across multiple markets worldwide. The company operates across a broad international network and places strong emphasis on operational excellence, technology, and service quality.
Job Description
The Manager - Human Resources will be responsible for executing HR initiatives to achieve Employer of Choice status and facilitating HR planning in collaboration with the Regional HR Head. Additionally, this role involves ensuring the integration of HR strategy to foster a performance-driven culture and collaborating with Business/Function Heads on retention strategies and identifying capability gaps.
Key Responsibilities
HR Strategy & Culture Enhancement
Play a pivotal role in planning and executing Human Resources initiatives aligned with sustainability targets and organizational goals.
Refine HR policies to strengthen organizational culture and reinforce values.
Collaborate with Business/Function Heads on retention strategies and address capability gaps.
Develop and execute employee engagement and motivation programs in collaboration with the Talent Management team.
Lead initiatives to foster clear and effective employee communication through employee communication programs.
Proactively address employee concerns to prevent disruptions, promoting a positive work environment.
Recruitment, Talent Management & Development
Plan and implement recruitment strategies aligned with business objectives and oversee the hiring of fixed-term employees and trainees.
Assess manpower needs, exploring internal and external sourcing options, and create innovative assessment methods for optimal candidate selection.
Oversee Talent Management initiatives to retain top talent and support succession planning.
Design and apply progressive selection tools to fulfill manpower needs.
Conduct coaching sessions and implement engagement initiatives across the region to ensure employee growth and satisfaction.
Guide Managers on the performance assessment process and support them in delivering constructive feedback.
Compliance, Recognition & Organizational Development
Establish and monitor Reward & Recognition programs, tracking their effectiveness and alignment with organizational objectives.
Collaborate with key stakeholders on organizational development initiatives.
Coordinate employee satisfaction surveys, implement recommendations, and maintain adherence to HR policies, regulations, and statutory requirements.
Ensure compliance with the company's HR guidelines and support processes that lead to positive audit outcomes.
Sustainability
Promote judicious use of natural resources.
Adhere to the organization's environment, health, and safety policies, objectives, and guidelines.
Anti-Bribery Management Systems (ABMS)
Follow the roles and responsibilities prescribed in the company's Anti-Bribery Management Systems manual.
Understand ethical standards and the importance of integrity in business practices.
Identify and evaluate risks related to bribery in various business contexts.
Key Requirements
5–8 years of relevant work experience in a Human Resources role.
Graduate/postgraduate degree or globally equivalent qualification.
Experience with SAP SuccessFactors and ADP is mandatory.
Behavioral Competencies
Communication
Quality and Service Orientation
Delivering Results
Teamwork and Collaboration
Digital Fluency
Diversity, Equity, and Inclusion Orientation
Personal and Professional Development
Leadership
Entrepreneurship
Functional Competencies
Talent Acquisition
Employee Life Cycle Management
Employee Engagement
Equal Opportunity
Our client is committed to providing equal employment opportunities and fostering an inclusive workplace where individuals from diverse backgrounds are welcomed and supported.
Location: Dhahran, Saudi Arabia; Al Khobar, Saudi Arabia; Bengaluru, India
We are seeking an experienced
SAP Procurement Solutions Analyst – S/4HANA & Ariba
to support and enhance procurement technology solutions across
SAP S/4HANA, SAP Ariba, and SAP Business Technology Platform (BTP)
.
The role will focus on enabling efficient and integrated
Source-to-Pay / Procure-to-Pay (P2P)
processes, supporting procurement operations, supplier lifecycle management, sourcing, purchasing, and related digital procurement capabilities.
The successful candidate will work closely with business stakeholders, procurement teams, IT teams, suppliers, and technology partners to analyze business requirements, support solution design, troubleshoot system issues, and drive continuous improvements across SAP procurement platforms.
The work location would be at
Al Khobar, Saudi Arabia.
Responsibilities
Support and maintain procurement solutions across
SAP S/4HANA, SAP Ariba, and SAP BTP
.
Analyze business requirements and translate procurement processes into effective SAP solutions.
Support
SAP MM / Materials Management
processes, including purchasing, purchase orders, goods/services procurement, and related master data.
Support end-to-end
Procure-to-Pay (P2P)
processes and ensure effective integration between procurement systems.
Provide functional support for
SAP Ariba
modules and capabilities, including:
Ariba Sourcing
Ariba Supplier Lifecycle and Performance (SLP)
Guided Buying
Supplier onboarding
Supplier relationship management
Procurement and sourcing processes
Support
supplier lifecycle management
, including supplier onboarding, qualification, maintenance, and integration with enterprise systems.
Support
service procurement
processes, including Service Entry Sheets and related purchasing activities.
Support procurement processes within
SAP S/4HANA and ECC
, ensuring alignment with business and operational requirements.
Analyze and resolve system issues, incidents, and process-related challenges across SAP procurement platforms.
Support integrations between
SAP Ariba, SAP S/4HANA, SAP BTP
, and other enterprise applications.
Work with technical teams to investigate integration issues, data flows, interfaces, and system defects.
Participate in solution design, configuration, testing, deployment, and post-implementation support.
Prepare and maintain functional specifications, process documentation, test scenarios, and user documentation.
Support
User Acceptance Testing (UAT)
and coordinate with business users to validate solutions.
Identify opportunities to improve procurement processes through automation, system enhancements, and digital procurement capabilities.
Collaborate with procurement, finance, supply chain, IT, and other business stakeholders to ensure solutions meet operational requirements.
Support system upgrades, enhancements, releases, and continuous improvement initiatives.
Monitor procurement system performance and ensure timely resolution of business-critical issues.
Requirements
Bachelor's degree in
Information Technology, Computer Science, Software Engineering, Management Information Systems
, or a related discipline.
5–7 years of relevant experience
in SAP procurement solutions, SAP functional consulting, business systems analysis, or a related field.
Strong experience with
SAP S/4HANA Procurement and SAP MM
.
Hands-on experience with
SAP Ariba
and its procurement and sourcing capabilities.
Good understanding of
Source-to-Pay (S2P) / Procure-to-Pay (P2P)
business processes.
Experience with
Ariba Sourcing, Ariba Supplier Lifecycle and Performance (SLP), Guided Buying, and supplier onboarding
.
Strong understanding of purchasing processes, including
purchase orders, supplier management, material management, and service procurement
.
Experience with
Service Entry Sheets
and service procurement processes.
Knowledge of
SAP ECC Procurement
and integration with S/4HANA environments.
Understanding of
SAP Ariba integrations
with S/4HANA/ECC and other enterprise systems.
Exposure to
SAP Business Technology Platform (BTP)
and its role in enterprise application integration and digital solutions.
Strong analytical and problem-solving skills with the ability to translate business requirements into technology solutions.
Good understanding of procurement and supplier management business processes.
Strong stakeholder management and communication skills.
Experience working with cross-functional business and IT teams.
Ability to work in a fast-paced environment and manage multiple priorities.
Preferred
SAP certification in
SAP S/4HANA Procurement, SAP MM, or SAP Ariba
.
Experience with SAP Ariba implementation, rollout, enhancement, or integration projects.
Experience working in large-scale enterprise procurement environments.
Knowledge of SAP integration technologies and APIs.
Experience with process optimization, automation, and digital procurement transformation initiatives.
Location: USA - Remote
Workplace: Remote
About Us
Since 2013, we’ve been building a CRM that gets out of your way and helps your team sell more, faster. Now we’re building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale.
We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 130-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales.
ABOUT THE ROLE
Close is a CRM built around the communication tools sales teams use every day: email, calling, SMS, workflows, reporting, and AI. Underneath that product is a broad technical surface — Python services and a large application backend, a TypeScript and React frontend, public APIs, Docker and Kubernetes, AWS infrastructure, and integrations with providers that handle sensitive customer data.
Security work happens across it all today, but the ownership is spread across Engineering, Infrastructure, and Security & Trust. We’re hiring our first dedicated Product Security Engineer to make that work systematic. You’ll report to the Backend Platform team manager within EPD (Engineering, Product, and Design), while working across the entire product and infrastructure surface. You’ll find vulnerabilities, determine which findings matter most, and drive them through remediation. Often you’ll fix the problem yourself. Other times you’ll give the owning team a clear reproduction, a practical path forward, and enough context to prioritize correctly.
You’ll analyze code, build proof-of-concepts, test running applications, tune or replace noisy tools, and automate the repetitive parts of vulnerability management. This is not a role where you forward scanner alerts and call the queue managed. Product and application security will be your responsibility. You’ll partner closely with our Infrastructure team on cloud security, access, and secrets, and with our Security & Trust Lead on GRC Engineering https://grc.engineering/, compliance (SOC 2) goals, audits, and corporate security.
This role is a new one at Close. You’ll have significant room to decide where better tooling, clearer ownership, and a small amount of code can reduce the most risk.
OUR STACK
Our backend is primarily Python, with Flask and FastAPI services and TaskTiger https://github.com/closeio/tasktiger and Temporal handling much of our asynchronous work. We expose REST https://developer.close.com/ and GraphQL APIs and store data in MongoDB, PostgreSQL, Elasticsearch, and Redis.
Our frontend is a large single-page TypeScript application built primarily with React. We bundle with Vite, target modern browsers, and test with Vitest, React Testing Library, Playwright, and Chromatic. The product updates in near real time and uses technologies including WebSockets and WebRTC. Our mobile application is built with React Native.
We build and test Docker images in CI/CD and continuously deploy them to Kubernetes on AWS. Our infrastructure uses managed services including EKS, MSK, and ElastiCache, alongside services running on EC2. Terraform and Ansible automate much of the underlying infrastructure, and our containerized local development environment lets engineers run the full system on their own machines.
For this role, our stack extends beyond simply backend or frontend: browser behavior, frontend state, API authorization, asynchronous processing, data access, third-party integrations, containers, and cloud configuration can all be part of the same attack path.
We love open sourcing our code and ideas on our GitHub https://github.com/closeio and on The Making of Close https://making.close.com/, our behind-the-scenes Product & Engineering blog. Check out our open source projects like SocketShark https://github.com/closeio/socketshark, TaskTiger https://github.com/closeio/tasktiger, LimitLion https://github.com/closeio/limitlion and ciso8601 https://github.com/closeio/ciso8601.
AI is both how we build and what we ship, and that's reshaped what engineering looks like. This is a transformation we’re embracing and find deeply exciting.
YOU ARE
- An application security engineer who writes code. You can move from reading an unfamiliar code path, to reproducing an exploit, to proposing or shipping a production-quality fix. Strong Python or TypeScript experience would be especially useful; fluency across both backend and frontend systems is even better.
- Skilled at finding vulnerabilities conventional scanners may miss. You use modern AI-assisted review pipelines, guided by expert judgment, to uncover subtle flaws in web apps and APIs—from authentication, authorization, and tenant isolation to injection, SSRF, unsafe data flows, and business logic. You can threat-model designs, white-box review code, and test running systems.
- Offensive-minded and operationally responsible. You know how to test like an attacker without being careless with customer data or production systems. You can turn a finding into a safe reproduction, assess exploitability and business impact, and retest the eventual fix.
- An automation builder. You have worked with some mix of SAST, DAST, software composition analysis, container scanning, secrets scanning, or cloud posture tooling. More importantly, you know how to tune tools, connect them to engineering workflows, and remove noise.
- AI-native and accountable. You use coding agents and LLMs to accelerate investigation, code review, and repetitive engineering work, but you verify their output. You think carefully about what happens when agents clone untrusted code, install dependencies, or receive access to credentials.
- Able to separate severity from priority. A score is an input, not a foregone conclusion. You consider reachability, existing controls, customer impact, and attack chains, then explain the risk in language that is legible to an engineer or business owner.
- Comfortable working across the business. You’ll collaborate with product engineers, Site Reliability Engineers, Security & Trust Lead, auditors, and external researchers without confusing partnership for pass-off ownership. You will follow findings to closure even when another team is responsible for the fix.
- Self-directed in a remote environment. You can take an ambiguous surface (say, secret rotation or dependency remediation) and learn how it works across multiple systems then turn it into a practical plan with measurable progress.
You do not need to arrive as the deepest expert in every part of this scope. You do need to be able to investigate an unfamiliar system, determine what matters, and bring the right people with you.
YOU WILL
The work spans hands-on application security, security automation, vulnerability management, and infrastructure partnership. Depending on where you find the greatest risk and leverage, projects could include:
- Build a recurring product security review program. Threat model new features, audit high-risk areas, review code, and build safe proof-of-concepts in isolated development environments. Work across our backend, frontend, APIs, and customer-facing integrations.
- Improve application security testing. Combine static analysis, dependency and secrets scanning, dynamic testing in development, and carefully scoped production testing. Use existing tools where they fit and build focused automation where they don’t.
- Own vulnerability intake and remediation. Triage findings from HackerOne, scanners, penetration tests, audits, customers, and internal research. Reproduce issues, assess exploitability and impact, track remediation, and verify fixes. Serve as technical lead for our bug bounty program while contract and budget ownership remain elsewhere.
- Turn security alerts into useful engineering work. Verify scanner coverage and automate ingestion, deduplication, enrichment, prioritization, and routing—so teams spend less time interpreting alerts and more time fixing important issues.
- Make dependency remediation safer and less manual. Improve scanning across our Python and TypeScript codebases, then build workflows to assess upgrades, stage pull requests, run checks, and route work without exposing credentials to untrusted packages or build steps.
- Make secrets routinely rotatable. Partner with service owners and Infrastructure to inventory application secrets, add graceful rotation paths, document provider-specific runbooks, and automate rotation where the provider and risk justify it. Expand our use of Vault-backed dynamic credentials and reduce the number of rotations that require a coordinated fire drill.
- Strengthen AWS security with Infrastructure. Evaluate and improve automated detection of risky configuration across identity, networking, compute, storage, containers, and registries. Turn findings into secure defaults, just-in-time access patterns, infrastructure guardrails, and actionable remediation—not build a second Infrastructure team.
- Support audits and raising the security floor. Partner with Security & Trust on external assessments, provide technical context, and ensure findings are fixed rather than rediscovered. Along the way, create documentation, paved roads, and lightweight training that helps engineers make safer choices without waiting for a security review.
- Take a key technical role in security incident response. Partner with Engineering and Infrastructure to coordinate investigation, containment, and remediation. Contribute to root-cause analysis and follow-up improvements, translating lessons learned into stronger controls and reduced recurrence.
Tech you’ll touch: Python, TypeScript, React, Flask, FastAPI, GraphQL, Docker, Kubernetes, AWS, Vault, GitHub Actions, MongoDB, PostgreSQL, Redis, Kafka, Elasticsearch and the security tooling you help us choose.
BENEFITS
- Compensation: Competitive pay plus an organization-wide goal-based bonus
- Paid Time Off: ~5 weeks of PTO to start. Plus a 1-week all-company Winter Holiday Break and paid US holidays. You'll earn 2 extra days for every year you're with Close.
- 80% Work Option: Work with your manager to choose between a standard 5-day week or a 4-day week at 80% pay
- Parental Leave: Paid leave for primary and secondary caregivers
- Sabbatical: A 1-month paid sabbatical every 5 years with the team
- Healthcare (US residents): Two medical plans with Close covering the majority of your premium, plus Dental, Vision, HSA, FSA, and company-paid Long-Term Disability
- 401k (US residents): We match your contributions up to 6%, vested immediately
OUR VALUES
Build a house you want to live in - Examine long-term thinking and action
No BS - Practice transparency and honesty, especially when it’s hard
Invest in each other - Build successful relationships with your coworkers and customers
Discipline equals freedom - Keep your word to yourself and others
Strive for greatness - Constantly challenge yourself and others
LEARN MORE
Listen to our CEO and Founder, Steli Efti, tell the story of Close’s journey in the $0-30m Blueprint https://www.close.com/blueprint.
Watch our culture video https://www.youtube.com/watch?v=maXKi1GN2MI from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection, foster cross-functional collaboration, and have fun. In 2027, we're headed to Dusseldorf, Germany!
Explore our product. Check out a demo https://www.close.com/demo-site!
OUR HIRING PROCESS
We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start, so please answer each one thoughtfully. We see this as an opportunity to get to know you beyond your resume.
We use AI tools daily at Close and expect candidates to do the same. In evaluating your application, we aim to get a sense for you - the way you think, how you communicate, the work you've done. Applications that read as fully AI-generated will not be considered.
Regardless of fit, you can expect to hear back from our team with an update on the status of your candidacy.
If you progress to the interview process, you'll receive a full outline of the role-specific steps in your first touchpoint with us. We do our best to make the hiring process clear and human.
Location: Dubai, United Arab Emirates
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
QV.AC is a general purpose AI assistant that runs locally on your devices, it gives users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem.
We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products.
You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration.
This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use.
Responsibilities
Help shape AI features:
Work with the Product Lead to translate the
QV.AC
vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation.
Understand users and their problems:
Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better.
Turn ideas into clear specifications:
Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success.
Prototype and explore:
Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team.
Collaborate on technical trade-offs:
Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience.
Support prioritization and planning:
Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities.
Drive feature delivery:
Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams.
Stay close to AI developments:
Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to
QV.AC
. Share clear recommendations about what is worth testing or adopting and why.
Mandatory:
7+ years of product management experience, ideally working on AI software products with technical engineering teams.
Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned.
A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI.
The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements.
Strong product judgment, with attention to usability, scope, and measurable user value.
Confidence creating prototypes using design or coding tools
Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues.
A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback.
Familiarity with product analytics, user research, and iterative software development.
Preferred:
Experience with local AI, on-device inference, or open-source models.
Experience building AI assistants, conversational interfaces, or multimodal features.
Familiarity with desktop or mobile product development.
An understanding of peer-to-peer technologies and decentralized applications.
Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors.
Experience working in a distributed team.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: United States of America
What We Do:
Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact.
Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection.
Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other.
Reports to: Director, Engineering
Location: Remote US, Only
Compensation:
$215,000 to $240,000 base plus bonus and equity
What You’ll Do:
Huntress is building an Agentic SOC. When our detection pipeline raises a signal, an LLM-based agent picks it up and investigates it end-to-end. It gathers telemetry across our products, reconstructs what happened, and makes a well-documented determination about whether the activity is malicious. Over time, it will take on more of the work itself, growing from resolving routine cases to acting fast when it finds an attack and handing analysts cases with the evidence already assembled. We’re hiring a Principal Software Engineer to head this effort.
This system is meant to augment our analysts, not replace them. It takes the high-volume, repetitive work off their plates so they can focus on complex cases and hands-on keyboard intrusions where human expertise matters most. It also reduces toil in the rest of their day by using LLMs to pre-process the output of the tools analysts use constantly, so they start from a clear picture instead of raw telemetry.
This isn’t a chatbot bolted onto a dashboard. The system investigates a large volume of signals a day across thousands of customer organizations. Many signals are benign, but some are live intrusions where minutes matter. The telemetry the system reads comes from environments in which attackers are actively operating. Because the system makes real decisions, like closing an investigation or isolating a host, it has to be right, it has to show its work, and it has to know when to hand off to a person.
As the technical lead, you’ll own the system’s architecture and direction. That means deciding how an investigation is structured, where deterministic code ends and model reasoning begins, what the agent can and can’t touch, how we know it’s working, and which decisions it makes on its own as it proves itself. You’ll work closely with SOC analysts, detection engineers, product, and other engineering teams. You’ll go deep in the code and help the engineers around you grow. Your work will directly shape how Huntress scales
protection for the 99%
.
We make full use of AI coding tools to enable you to accelerate your development. We don’t cap token usage. We expect you to use AI and all tools responsibly.
Responsibilities:
Own the architecture of agentic investigation. You help define how signals move from detection into investigation, how investigation state is managed, how tools are designed and exposed to agents, and what a finished investigation contains: the verdict, the timeline, the scope, and the evidence behind every claim. When the team is stuck between options, you make the call, and the foundations you set are what others build on for years.
Build agents that investigate like a strong analyst. You work alongside our SOC and product researchers to learn how experienced analysts actually triage and investigate, then turn that into agent behavior: which questions to ask, which evidence to gather, when to dig deeper, and when to stop and hand off to a human.
Take toil off analysts’ plates. Beyond full investigations, you build LLM-powered pre-processing for the tools and data sources analysts rely on every day. It summarizes, correlates, and highlights what matters, so analysts spend their time on judgment instead of assembly.
Bring a security mindset to the agent itself. The agent reads attacker-influenced data, runs across thousands of customer tenants, and can take action in customer environments. You design as if someone is trying to manipulate it, because someone will. Trust boundaries, tenant isolation, and auditability are part of the architecture from the start.
Treat evaluation as a core part of the product. You define how we measure whether an investigation is correct, well-reasoned, and well-documented, and you make sure no prompt, model, or tool changes without evidence that it helps.
Decide with data what the system does on its own. Based on measured performance, you decide where it acts autonomously, where a person reviews its work, and how that changes over time. You also recognize when a problem doesn’t need an agent at all.
Build for production, not for demos. You design for reliability, latency, and cost at scale. The system keeps working when models are slow, wrong, unavailable, or quietly changed underneath you, and anyone can trace exactly why an investigation reached its conclusion or why an action was taken.
Augment analysts, don’t replace them. You design the handoff between agent and analyst so that when a case reaches a person, the agent’s work makes them faster and better informed. You consider how analysts’ work changes as agents take on more of it, and how we explain agent decisions to partners and customers in a way they can trust.
Prototype your way through hard problems. When the team hits something genuinely uncertain, you dig in first: derisk it, prove out the approach, then hand it off clearly.
Be the engineering face of the Agentic SOC. In conversations with SOC leadership, other engineering teams, product, and executives, you represent the team’s technical perspective clearly and credibly. You drive alignment on key decisions, carry context in both directions, and protect the team from unclear scope.
Balance technical rigor with pragmatism. You push back when a shortcut creates real risk, and you also push back on over-engineering when the goal is discovery. You have a bias for action and frequent feedback from analysts and customers, and you can explain your tradeoffs to engineers and non-engineers alike.
Raise the floor and the ceiling. Your technical leadership is measured by how the whole team performs, not just by what you personally ship. That shows up in thoughtful code review, pairing on problems others are stuck on, and creating leverage through better patterns, tooling, and shared understanding. You partner with the engineering manager on team health, give direct feedback, and model the judgment and accountability you want the team to have.
What You Bring To The Team:
15+ years of experience developing complex software products, including significant time as the technical lead on production systems
Hands-on experience designing, shipping, and operating LLM-based agents in production, covering tool use, context management, structured output, guardrails, and evaluation, along with a clear-eyed understanding of how they fail
A track record of building evaluation for non-deterministic systems, such as labeled datasets, offline evals, and regression gates, and of measuring quality over time rather than at launch
A security mindset: experience building systems that handle untrusted input, enforce multi-tenant isolation, and produce an audit trail that holds up under scrutiny
Experience building systems that make automated decisions with real consequences, and the judgment to know what to automate and what to leave to people
Curiosity about how security analysts think and work, and a willingness to spend real time learning from them
Deep backend expertise in distributed systems, queues, and durable workflows, and concurrency, with a track record of designing for throughput and correctness under load
Strong skills in one or more backend languages and the ability to pick up new ones quickly. Our primary stack is Ruby on Rails, and we expect you to become fluent in it
Experience with AWS, Azure, or other public cloud environments, and with data stores such as Postgres and Redis
Experience with AI coding tools, such as Claude Code
BS or MS in Computer Science or Engineering, or equivalent experience
Bonus Points:
Experience working in or building for a SOC, incident response, threat hunting, or detection engineering. It isn’t required, but it helps a lot, because we build these workflows around how our analysts actually investigate
Familiarity with endpoint and identity telemetry and with attacker tradecraft
Experience attacking or adversarially testing ML or LLM systems
Experience with Ruby on Rails
What We Offer:
100% remote work environment - since our founding in 2015
Generous paid time off policy, including vacation, sick time, and paid holidays
12 weeks of paid parental leave
Highly competitive and comprehensive medical, dental, and vision benefits plans
401(k) with a 5% contribution regardless of employee contribution
Life and Disability insurance plans
Stock options for
all
full-time employees
One-time $500 reimbursement for building/upgrading home office
Annual allowance for education and professional development assistance
$75 USD/month digital reimbursement
Access to the BetterUp platform for coaching, personal, and professional growth
Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are.
We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status.
We do discriminate against hackers who try to exploit businesses of all sizes.
Accommodations:
If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to
accommodations@huntresslabs.com
. Please note that non-accommodation requests to this inbox will not receive a response.
Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our
Candidate Privacy Notice
for more details on our practices and your data privacy rights.
#BI-Remote
Location: Dublin, Ireland
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
QV.AC is a general purpose AI assistant that runs locally on your devices, it gives users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem.
We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products.
You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration.
This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use.
Responsibilities
Help shape AI features:
Work with the Product Lead to translate the
QV.AC
vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation.
Understand users and their problems:
Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better.
Turn ideas into clear specifications:
Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success.
Prototype and explore:
Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team.
Collaborate on technical trade-offs:
Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience.
Support prioritization and planning:
Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities.
Drive feature delivery:
Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams.
Stay close to AI developments:
Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to
QV.AC
. Share clear recommendations about what is worth testing or adopting and why.
Mandatory:
7+ years of product management experience, ideally working on AI software products with technical engineering teams.
Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned.
A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI.
The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements.
Strong product judgment, with attention to usability, scope, and measurable user value.
Confidence creating prototypes using design or coding tools
Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues.
A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback.
Familiarity with product analytics, user research, and iterative software development.
Preferred:
Experience with local AI, on-device inference, or open-source models.
Experience building AI assistants, conversational interfaces, or multimodal features.
Familiarity with desktop or mobile product development.
An understanding of peer-to-peer technologies and decentralized applications.
Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors.
Experience working in a distributed team.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Lugano, Switzerland
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
QV.AC is a general purpose AI assistant that runs locally on your devices, it gives users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem.
We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products.
You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration.
This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use.
Responsibilities
Help shape AI features:
Work with the Product Lead to translate the
QV.AC
vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation.
Understand users and their problems:
Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better.
Turn ideas into clear specifications:
Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success.
Prototype and explore:
Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team.
Collaborate on technical trade-offs:
Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience.
Support prioritization and planning:
Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities.
Drive feature delivery:
Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams.
Stay close to AI developments:
Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to
QV.AC
. Share clear recommendations about what is worth testing or adopting and why.
Mandatory:
7+ years of product management experience, ideally working on AI software products with technical engineering teams.
Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned.
A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI.
The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements.
Strong product judgment, with attention to usability, scope, and measurable user value.
Confidence creating prototypes using design or coding tools
Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues.
A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback.
Familiarity with product analytics, user research, and iterative software development.
Preferred:
Experience with local AI, on-device inference, or open-source models.
Experience building AI assistants, conversational interfaces, or multimodal features.
Familiarity with desktop or mobile product development.
An understanding of peer-to-peer technologies and decentralized applications.
Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors.
Experience working in a distributed team.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Australia, Adelaide
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
About the role
We are looking for a Staff Software Engineer to help shape and build the next generation of our network automation platforms.
Our challenge is one of scale, complexity and criticality. We operate a massive global network supporting PlayStation Network, spanning more than 40 interconnection locations and 20+ data centres worldwide. Operating infrastructure at this scale safely and efficiently requires us to move beyond specialist-driven workflows and individual automation tools toward reliable, declarative software platforms.
You will help make that transition. You will work on software that turns complex network and infrastructure operations into reliable, API-driven and increasingly self-service capabilities. This includes building control-plane services, declarative APIs and intent-based controllers that manage production infrastructure safely and consistently across our global footprint.
This is a Staff-level engineering role with significant technical influence. You will combine hands-on engineering with setting technical direction: defining architectures, solving complex cross-system and distributed-systems problems, writing designs, driving alignment with senior engineers and architects, and mentoring engineers across the team.
Your work will directly influence how one of the world's largest gaming networks is operated and automated, while establishing engineering patterns and platforms that can be reused across multiple network domains and services.
What
you'll
do
Provide technical leadership and architectural direction for network automation and infrastructure control platforms, treating the self-service network API as a product by working with users and partner teams to define outcomes, establish clear expectations for API behavior and reliability, align on team responsibilities, and ensure those commitments are met.
Use domain-driven design with network experts, software engineers and API consumers to establish shared language and bounded contexts, then turn those agreements into versioned, testable contracts.
Design and build APIs, services, controllers and reconciliation workflows that manage production infrastructure safely at scale.
Build on the Kubernetes API, including custom resources and control loops that continuously converge actual state toward declared intent.
Own the operational Kubernetes path: CRD rollout, RBAC and admission, controller health, Helm packaging, deployment drift and incident diagnosis.
Design distributed workflows that operate correctly under eventual consistency, at-least-once delivery, concurrent writes and partial failure, with idempotency and safe recovery as fundamental properties.
Design stable APIs, schemas and data models used across team boundaries, including versioning and backwards compatibility.
Develop patterns for multi-tenant infrastructure platforms, including tenant isolation, authorization, policy enforcement and safe automation boundaries.
Establish strong approaches to testing, observability and change safety for software that changes live infrastructure.
Improve software delivery practices through automated CI gates, versioned artifacts, controlled promotion, and safe deployment and recovery strategies.
Lead complex migrations and modernization of existing automation, services and data models, evaluating when components should be evolved, replaced or rewritten, and ensuring safe coexistence, behavioral compatibility and retirement of legacy paths.
Drive technical alignment across software engineering, networking, operations and architecture teams; lead decisions within your area of accountability, contribute constructively to decisions owned by others, and make technology choices based on long-term company and product value.
Mentor engineers, lead technical and design reviews, and raise software engineering standards across the wider organization.
What
we're
looking for
Must have
Deep expertise in a backend language such as Python, Go, Rust or Java, including asynchronous concurrency, static typing, data modelling and validation, API development, packaging and tooling.
Strong experience building Kubernetes controllers or operators, including custom resources and reconciliation/control-loop patterns.
Strong experience building event-driven distributed systems, particularly eventual consistency, at-least-once delivery, idempotency, optimistic concurrency and partial-failure handling.
Experience designing and building self-service, multi-tenant platforms, including tenant isolation, policy and access control.
Strong API and schema design skills, including versioning and schema evolution for interfaces consumed by other teams and systems.
Demonstrated technical leadership across team boundaries, including driving architectural designs, building agreement among senior technical stakeholders and mentoring other engineers.
A track record of taking ambiguous, technically complex problems from architecture through to reliable production systems that manage large-scale infrastructure, such as networks, compute or cloud resources.
Nice to have
Networking fundamentals, particularly BGP, IP fabrics and VXLAN/EVPN/L3VPN.
Working knowledge of Go, sufficient to understand and contribute to adjacent services and controllers.
Experience designing testing and observability strategies for production infrastructure automation, including systems and backends that cannot be fully reproduced in CI.
Experience with graph databases, or with source-of-truth systems that model infrastructure and its relationships.
The impact
You will help establish the architecture and engineering practices behind a new generation of network automation, moving from individual scripts and specialist-driven workflows toward declarative, model-driven and reliable platforms.
At Staff level, your impact is expected to extend beyond the code you personally deliver. You will help shape the APIs and designs other teams build on, develop other engineers, and establish technical patterns that can be reused across multiple network domains and services.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Tbilisi, Georgia
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
QV.AC is a general purpose AI assistant that runs locally on your devices, it gives users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem.
We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products.
You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration.
This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use.
Responsibilities
Help shape AI features:
Work with the Product Lead to translate the
QV.AC
vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation.
Understand users and their problems:
Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better.
Turn ideas into clear specifications:
Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success.
Prototype and explore:
Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team.
Collaborate on technical trade-offs:
Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience.
Support prioritization and planning:
Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities.
Drive feature delivery:
Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams.
Stay close to AI developments:
Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to
QV.AC
. Share clear recommendations about what is worth testing or adopting and why.
Mandatory:
7+ years of product management experience, ideally working on AI software products with technical engineering teams.
Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned.
A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI.
The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements.
Strong product judgment, with attention to usability, scope, and measurable user value.
Confidence creating prototypes using design or coding tools
Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues.
A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback.
Familiarity with product analytics, user research, and iterative software development.
Preferred:
Experience with local AI, on-device inference, or open-source models.
Experience building AI assistants, conversational interfaces, or multimodal features.
Familiarity with desktop or mobile product development.
An understanding of peer-to-peer technologies and decentralized applications.
Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors.
Experience working in a distributed team.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Lisbon, Portugal
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
QV.AC is a general purpose AI assistant that runs locally on your devices, it gives users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem.
We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products.
You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration.
This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use.
Responsibilities
Help shape AI features:
Work with the Product Lead to translate the
QV.AC
vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation.
Understand users and their problems:
Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better.
Turn ideas into clear specifications:
Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success.
Prototype and explore:
Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team.
Collaborate on technical trade-offs:
Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience.
Support prioritization and planning:
Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities.
Drive feature delivery:
Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams.
Stay close to AI developments:
Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to
QV.AC
. Share clear recommendations about what is worth testing or adopting and why.
Mandatory:
7+ years of product management experience, ideally working on AI software products with technical engineering teams.
Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned.
A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI.
The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements.
Strong product judgment, with attention to usability, scope, and measurable user value.
Confidence creating prototypes using design or coding tools
Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues.
A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback.
Familiarity with product analytics, user research, and iterative software development.
Preferred:
Experience with local AI, on-device inference, or open-source models.
Experience building AI assistants, conversational interfaces, or multimodal features.
Familiarity with desktop or mobile product development.
An understanding of peer-to-peer technologies and decentralized applications.
Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors.
Experience working in a distributed team.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Barcelona, Spain; Madrid, Spain
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
QV.AC is a general purpose AI assistant that runs locally on your devices, it gives users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem.
We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products.
You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration.
This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use.
Responsibilities
Help shape AI features:
Work with the Product Lead to translate the
QV.AC
vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation.
Understand users and their problems:
Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better.
Turn ideas into clear specifications:
Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success.
Prototype and explore:
Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team.
Collaborate on technical trade-offs:
Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience.
Support prioritization and planning:
Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities.
Drive feature delivery:
Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams.
Stay close to AI developments:
Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to
QV.AC
. Share clear recommendations about what is worth testing or adopting and why.
Mandatory:
7+ years of product management experience, ideally working on AI software products with technical engineering teams.
Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned.
A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI.
The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements.
Strong product judgment, with attention to usability, scope, and measurable user value.
Confidence creating prototypes using design or coding tools
Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues.
A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback.
Familiarity with product analytics, user research, and iterative software development.
Preferred:
Experience with local AI, on-device inference, or open-source models.
Experience building AI assistants, conversational interfaces, or multimodal features.
Familiarity with desktop or mobile product development.
An understanding of peer-to-peer technologies and decentralized applications.
Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors.
Experience working in a distributed team.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: London, United Kingdom
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
QV.AC is a general purpose AI assistant that runs locally on your devices, it gives users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem.
We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products.
You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration.
This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use.
Responsibilities
Help shape AI features:
Work with the Product Lead to translate the
QV.AC
vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation.
Understand users and their problems:
Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better.
Turn ideas into clear specifications:
Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success.
Prototype and explore:
Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team.
Collaborate on technical trade-offs:
Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience.
Support prioritization and planning:
Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities.
Drive feature delivery:
Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams.
Stay close to AI developments:
Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to
QV.AC
. Share clear recommendations about what is worth testing or adopting and why.
Mandatory:
7+ years of product management experience, ideally working on AI software products with technical engineering teams.
Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned.
A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI.
The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements.
Strong product judgment, with attention to usability, scope, and measurable user value.
Confidence creating prototypes using design or coding tools
Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues.
A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback.
Familiarity with product analytics, user research, and iterative software development.
Preferred:
Experience with local AI, on-device inference, or open-source models.
Experience building AI assistants, conversational interfaces, or multimodal features.
Familiarity with desktop or mobile product development.
An understanding of peer-to-peer technologies and decentralized applications.
Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors.
Experience working in a distributed team.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: London, UK
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 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 Beneficial Deployments
Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most.
About the Role
We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team. This is a partner-facing role: you'll support nonprofits, research institutes, academic medical centres and public-sector funders as they use Claude to get treatments to patients with rare and neglected diseases, where there is little or no commercial incentive to fund development.
The role focuses on clinical development, where we think Claude can help these partners today. Trials in these diseases have small patient populations, investigator-led or nonprofit funding and little operational support, and they often stall on protocol quality, operational risk and site start-up. Claude can help teams design better trials and start them sooner. Much of this work is drug repurposing: testing new uses for approved, usually off-patent or generic medicines, whose known safety profiles can let a good hypothesis reach patients years sooner than a new molecule.
You'll advise and embed in partners' teams, building alongside their engineers, scientists and clinicians.
Responsibilities
Work with partners' trial teams to design, review and prioritise clinical trials with Claude: drafting and reviewing protocols and statistical analysis plans, and flagging enrolment and operational risks.
Build and validate tools that help partners find new uses for approved, mostly off-patent medicines in rare and neglected diseases, from literature, omics and patient data, and assemble the evidence so the partner can decide the next step.
Build reusable infrastructure other institutions can adopt (MCP servers for biomedical data sources, agent skills, benchmarks grounded in real clinical questions), and feed what you learn in the field back to product, engineering and research.
You Might Be a Good Fit If You Have
Hands-on clinical development experience: designing, running or analysing clinical trials, or assessing clinical evidence to decide which programmes go forward (for example due diligence or asset evaluation). Drug repurposing work as part of that is a strong plus, as is having contributed to a regulatory submission for a trial.
Comfort with biomedical data: literature, omics, and real-world patient data (health records, registries, claims), ideally inside secure or trusted research environments.
Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure it.
Experience working directly with external partners or customers in a technical role.
Clear written and verbal communication: docs other institutes can use without you, and results clinicians trust.
A scrappy mentality: you're comfortable in ambiguity, wear several hats, and do what it takes to get a result for a partner.
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:
£225,000
—
£255,000 GBP
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.
УдалённоSerbia; Greece; Romania; Malta; Estonia; Poland; Open to candidates across EU / EMEA time zones (UTC+0 to UTC+3)
Vienna, Austria
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