Location: Remote / Boston / Salt Lake City / San Francisco / New York
The financial industry is growing at a record pace, but our data providers are still stuck in the past — with cumbersome onboarding processes, complicated APIs, slow infrastructure, and expensive licensing costs.
Databento is the market data platform for modern finance. The company provides real-time and historical data across futures, options, and equities through a unified API. By owning the entire market data stack end-to-end, Databento is the first platform of its kind to combine the performance and reliability demanded by the world's leading trading firms with a dramatically simpler developer experience. Our team includes alumni of Two Sigma, Citadel Securities, Flow Traders, IMC, Tower Research, Jump Trading, HRT, Jane Street, and SIG.
We're looking for a midlevel or senior IC to join our Platform/API engineering team. You'll be responsible for building, maintaining, and promoting our JavaScript client library, working closely with our design team to bring production-ready interfaces to life. This role is primarily focused on TypeScript/JavaScript, with some full-stack/Python work as well.
Responsibilities
Own, build, and maintain our JavaScript client library, ensuring it is robust, well-tested, and easy for external users to integrate with.
Integrate native libraries into JavaScript/TypeScript code using tools like N-API, node-addon-api, or Wasm.
Build responsive, performant front-end applications using React, Redux, Vite, Web Workers, and WebSockets.
Contribute to full-stack projects, including backend work in Python (or Rust), REST API design, and database/migration work.
Work between design and engineering teams to translate designs (e.g. Figma handoffs) into production-ready components and design systems.
Set up and maintain CI/CD pipelines, including publishing to npm.
Document components using Storybook or similar tooling.
Collaborate cross-functionally to ensure smooth feature rollouts and updates.
Preferred background
Experience working between high-performing design and engineering teams, including production-ready design systems and tools (e.g. Figma handoffs).
Proficiency with React, Redux, Vite, Web Workers, and WebSockets.
Background in trading, market data, or quantitative finance.
Hands-on backend experience building APIs, working with databases, and migrations.
Full-stack experience with backends in Python or Rust, including REST API design.
Familiarity with Storybook or similar component documentation tooling.
Good communication skills and work ethic for a remote workplace.
We offer health, dental, disability, and life insurance benefits, as well as 401(k) matching for full-time employees. We accommodate 100% remote work, with teammates living around the globe and paid in their local currency.
The base salary range for this role is $130,000–$215,000, benchmarked to Tier 1 locations in each country. Total compensation may also include bonuses, commissions, and equity, depending on the role.
Notice about phishing scams
Be cautious of phishing scams impersonating Databento that offer fake job interviews and request purchases. Official emails come only from
@databento.com
or
us.greenhouse-mail.io
(our ATS). Any other domains (e.g., databento-careers.com, databento.online) are fraudulent.
--
Databento, Inc. provides equal employment opportunities to all employees and applicants regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. We comply with federal, state, and local nondiscrimination laws in every location where we operate. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, layoff, recall, transfer, leave, compensation, and training. Pursuant to applicable laws, we consider qualified applicants with arrest or conviction records. If you need an accommodation, please let us know.
Our recruiting data suggests that underrepresented applicants often downplay their skills. Even if your experience doesn’t exactly match the qualifications listed, we still want to hear from you. Please apply!
УдалённоOfficial emails come only from; Our recruiting data suggests that underrepresented applicants often downplay their skills
Location: Ciudad de México, Mexico; Moscow, Russia
Workplace: remote
At
NOVACARD
, we’re redefining how people use credit. We are the
first interest-free and no-annual-fee credit card in Mexico
, designed to simplify personal finances and give users complete control - all from a mobile app. With NOVACARD, users can access up to
$200,000 MXN in credit
, only pay when they use it, and manage everything digitally in under 5 minutes. Our mission is to empower people to make smarter financial decisions by offering flexibility, transparency, and the freedom they need to reach their goals. Simple finances, big goals.
About the Role:
We are looking for a strong Product Leader to own the client experience in our mobile application. You will have full accountability for the app’s design quality, end-to-end customer journeys (CJM), and the usability of every touchpoint. This role requires someone who can think in metrics and interface details simultaneously, building the product around real customer needs. You will shape the strategy, lead design execution, and drive measurable improvements in activation, conversion, and engagement. The role is based in Mexico, with remote flexibility and business trips when required.
Key Responsibilities:
Mobile Experience Strategy:
Define and evolve the UX/UI strategy for the mobile app, prioritizing simplicity, speed, and intuitive navigation that aligns with the needs of Near Prime customers.
Customer Journey Design:
Architect and optimize end-to-end customer journeys within the app — from onboarding and first use to regular product interaction, limit management, and repeat transactions. Own the CJM across all touchpoints.
Product Metrics & User Behavior:
Analyze in-app user behavior (funnels, screen flows, usage scenarios). Track and improve conversion rates for key actions (activation, product application, repeat visits) and identify interface bottlenecks through data.
Design Process Leadership:
Partner closely with UX/UI designers. Set clear tasks, ensure high quality of mockups and prototypes, facilitate user testing, and maintain design consistency across all app features.
Ecosystem Integrations:
Design seamless interaction scenarios between the mobile app and other company products and services, ensuring a unified and effortless customer experience within the broader ecosystem.
Cross-Functional Collaboration:
Work in tight alignment with product teams, engineering, analytics, legal, and marketing to deliver a consistent and compliant user experience.
Continuous Improvement:
Build and maintain a backlog of UX/UI enhancements based on data insights, customer feedback, market benchmarking, and company strategic goals.
Key Requirements:
Significant experience in product management for mobile applications (fintech, e-commerce, or consumer services) at an Upper Senior level, with direct ownership of UX/UI outcomes.
Deep understanding of customer-centric design principles and the ability to balance user needs with business goals, risk constraints, and technical feasibility.
Upper-intermediate English or higher (both spoken and written) — required for communication with international teams and headquarters.
Strong analytical skills: ability to work with mobile analytics, funnels, heatmaps, and user session data to drive decisions.
Excellent taste in product design, attention to visual and interaction detail, and the ability to recognize what makes an interface truly user-friendly.
Out-of-the-box thinking, flexibility, and capacity to manage multiple initiatives in a fast-moving environment.
Advanced soft skills: clear communication, empathy, and the ability to inspire designers and engineers around a shared product vision.
What We Offer
Remote or hybrid work format, with business trips as required.
Official employment under local labor law; contractor arrangements available for candidates from other countries.
The chance to define the mobile experience for a strategically important Near Prime segment in Mexico, impacting thousands of customers daily.
A data-informed, design-driven culture that values experimentation, user feedback, and continuous improvement.
Close collaboration with local and international teams, with full ownership of the mobile product experience and its business outcomes.
Location: Remote - Toronto, Ontario
Workplace: Remote
The Company
At Nylas, we specialize in making it easier for developers to add email, calendar, and contact management features into their applications. We provide APIs, which streamline the integration of these functionalities, ensuring they are secure and effective. This enables better, safer, and more reliable communication within apps.
Supporting over 100,000 developers and collaborating with more than 900 companies globally, Nylas plays a pivotal role in how digital communication tools are built and utilized. Our technology spans various sectors, from healthcare to education, simplifying the complex process of app development related to communications. By reducing the barriers in communication technology, we empower developers to innovate and enhance user interaction across platforms.
ABOUT THE TEAM
At Nylas, we are building the infrastructure that powers modern communications. Our APIs and platform help developers integrate email, calendar, scheduling, contacts, notetakers, and agent accounts into their applications without managing the complexity underneath.
The Nylas Dashboard is the control plane for that platform. It is where customers create applications, connect accounts, configure domains, manage grants, debug issues, explore product capabilities, monitor logs, and understand how their integrations are performing.
As Nylas continues to evolve for an AI-native future, the Dashboard must evolve with it. We are turning it from a traditional admin surface into a fast, intuitive, intelligent product experience that helps developers ship faster, understand what is happening across their integrations, and confidently operate full-stack communication workflows.
ABOUT THE ROLE
We are looking for a Software Engineer to help build and modernize the Nylas Dashboard and the full-stack product surfaces that surround it.
This individual will be primarily responsible for the Nylas Dashboard, but the scope extends beyond frontend pages. You will work across the stack, owning the user-facing surfaces, APIs, services, data models, product workflows, and internal platform patterns that make Nylas easier to use and easier to build on.
This is a foundational role for someone who wants to shape how developers interact with Nylas in the AI era. You will help transform the Dashboard into a polished, reliable, AI-native control plane that supports core Nylas products, including Email, Calendar, Scheduler, Notetaker, Transactional Send, Inbound Email, and Agent Accounts.
You will partner closely with product, design, backend engineering, platform engineering, and go-to-market teams to ship experiences that feel fast, coherent, and deeply useful to technical users.
WHY THIS ROLE IS DIFFERENT
This is not a narrow frontend role, and it is not limited to a single product surface.
You will own critical product surfaces that every Nylas customer touches. You will help define the patterns other teams build within. You will work on the Dashboard shell, navigation, shared components, product pages, backend APIs, authorization flows, observability surfaces, onboarding experiences, and agent-powered workflows.
The person in this role should be excited by the idea of making Nylas feel more modern, cohesive, fast, and AI-native. You should care about developer experience, product craft, system design, and the operational details that make complex platforms feel simple.
If you want to help modernize a developer platform for the AI future we are already in, this role is for you.
WHAT YOU’LL DO
- Build and own core Dashboard infrastructure, including the application shell, navigation, layout patterns, shared components, and product surfaces used across Nylas.
- Design and implement full-stack product experiences across frontend, backend APIs, data models, permissions, service integrations, and deployment paths.
- Modernize the Nylas Dashboard into a fast, polished, cohesive control plane for developers and technical teams.
- Build AI-native and agent-facing experiences that help users configure products, understand errors, debug integrations, apply best practices, and operate Nylas more effectively.
- Work across Nylas product areas, including Email, Calendar, Scheduler, Notetaker, Inbound Email, Transactional Send, Domains, Logs, and Agent Accounts.
- Partner with backend and platform teams to design clean APIs and service boundaries that support excellent user experiences.
- Drive performance as a product feature. Profile, measure, and optimize Dashboard interactions so the product feels fast and responsive.
- Create reusable abstractions and shared patterns that help other engineering teams ship product surfaces consistently.
- Improve onboarding, activation, self-serve configuration, troubleshooting, and product discovery across the Dashboard.
- Use AI-assisted development tools to accelerate implementation, improve quality, explore product behavior, and help define how AI fits into Nylas’ engineering workflows.
- Ship incrementally and continuously, using customer feedback, product intuition, and technical judgment to improve the platform every week.
- Collaborate closely with Design, Product, Customer Success, Solutions Engineering, and Developer Relations to translate customer feedback into product improvements.
WHAT WE’RE LOOKING FOR
- 4+ years of experience as a software engineer building user-facing products.
- Strong full-stack engineering experience, especially with modern frontend development using React, TypeScript, and component-driven architecture.
- Experience building backend APIs, services, data models, and integrations that power production product experiences.
- A strong product mindset. You care about usability, information architecture, developer experience, performance, and the details that make software feel excellent.
- Experience building products for developers, technical users, internal platforms, or complex B2B SaaS workflows.
- Systems thinking. You naturally create reusable abstractions, composable components, shared patterns, and clean APIs rather than one-off solutions.
- Comfort working in ambiguous product areas. You can take a rough problem statement, clarify the goal, make pragmatic tradeoffs, and turn it into shipped software.
- Strong communication skills and the ability to collaborate effectively with product, design, backend engineering, platform engineering, and customer-facing teams.
- A bias toward shipping. You move quickly, iterate based on feedback, and hold a high bar for quality without getting stuck in long planning cycles.
- Experience using AI tools in your own development workflow, with opinions on how they should improve engineering productivity and product experiences.
NICE TO HAVE
- Experience working on dashboards, developer portals, control planes, admin surfaces, or platform products.
- Experience with Next.js, GraphQL, REST APIs, Go, gRPC, Postgres, Redis, or cloud-native service architectures.
- Experience building observability, logging, debugging, billing, authentication, authorization, or configuration surfaces.
- Experience working on horizontal platform teams where other engineering teams build on top of your infrastructure.
- Experience building agent-powered products, AI-assisted workflows, or LLM-powered developer tools.
- Experience working with design tools such as Figma and v0.
- Contributions to open source projects, especially in the React, TypeScript, frontend infrastructure, or developer tooling ecosystem.
INTERVIEW PROCESS (SUBJECT TO CHANGES)
- Round 1 - The Intro: 30 minute discussion with the Hiring Manager
- Round 2 - The Deep Dive: 60 minute live technical assessment
- Round 3- The Loop: A series of 45-minute chats with the team (max 3 hours) where we look for the "what, why, and how" behind your best work.
During the various discussions, candidates selected to meet with us are strongly encouraged to not only discuss their knowledge, skills, experience, and abilities but also to showcase examples of their current or previous work. We expect you to clearly outline the "what," "why," and "how" behind your contributions.
Actual compensation will be determined based on individual qualifications, which are objectively assessed during the interview process. Factors influencing salary include knowledge, skills, experience, and abilities.
Nylas is registered as an employer in many, but not all, states/provinces. If you are not located in or able to work from a state/province where Nylas is registered, you will not be eligible for employment. Visa sponsorship may not be available in certain remote locations.
Location: Americas; APAC; EMEA
Workplace: Remote
RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile.
We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue.
We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance.
This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading.
ABOUT THE TEAM
You’ll join a cross‑functional group of app monetization subject matter experts who partner directly with RevenueCat customers and prospects. As part of the broader Customer Growth org, this team designs and implements high‑impact paywalls, onboarding flows, and purchase funnels using RevenueCat’s no‑code builders and experimentation tools, then feeds learnings back into our product, templates, and educational content
You’ll also collaborate closely with our content, marketing, and advocacy teams to turn real‑world project outcomes into templates, case studies, webinars, and best‑practice guides for the broader app community
ABOUT THE ROLE
As Senior CRO Designer, Paywalls & Funnels, you’ll be the person RevenueCat customers trust when the question is: “How do we get more users to convert and stay subscribed?”
You will:
- Design & build high‑converting paywalls and funnels
- Use RevenueCat’s paywall and experiment builders to design, configure, and ship paywalls, onboarding flows, upgrade paths, and win‑back experiences for mobile apps across categories
- Translate brands and product value props into clear, compelling paywall layouts, messaging, and pricing presentations
- Lead conversion optimization projects for customers and prospects
- Run structured discovery with customers and prospects to understand their business model, audience, and constraints
- Propose experiment plans (e.g., value prop framing, pricing presentation, trial vs. no‑trial, placement and timing of paywalls)
- Partner with apps to launch multivariate tests and interpret results, using RevenueCat’s analytics and experimentation tooling
- Codify patterns into reusable assets
- Distill what’s working across projects into reusable templates, checklists, and patterns that can be implemented directly in RevenueCat’s builders
- Work with Product to inform our paywall components, presets, and default templates
- Create educational content with Advocacy & Marketing
- Collaborate with Growth Advocacy and Content teams to turn your project learnings into:
- Example paywalls and funnel templates
- Blog posts, guides, and best‑practice documentation
- Webinars, live reviews, and conference talks or workshops
- Participate in public‑facing sessions (e.g., teardown streams, office hours) as a visible expert on monetization UX
- Champion monetization UX best practices
- Advise Sales, Customer Success, and Support on paywall and funnel best practices they can bring into customer conversations
- Provide feedback to Product & Engineering on how practitioners use our builders in the wild, highlighting opportunities for new features, components, and workflows
ABOUT YOU
You’re a conversion‑focused designer who lives at the intersection of mobile product design, growth, and experimentation. You have a track record of shipping real paywalls and funnels that move business metrics, not just portfolios
You have:
- Deep hands‑on experience with paywalls & funnels
- 5–8+ years designing consumer mobile experiences, with a substantial portion spent on subscription or purchase flows (e.g., paywalls, onboarding, upgrade/upsell, win‑back, account limits)
- Experience either:
- At a mobile app studio / product team owning monetization UX, or
- At an agency/consultancy repeatedly designing and optimizing paywalls and funnels for multiple apps
- Strong conversion & experimentation mindset
- Comfort defining hypotheses, success metrics, and test plans (e.g., CVR, trial start rate, activation, LTV)
- Experience using analytics and experimentation tools to interpret results and iterate quickly
- Ability to balance conversion gains with long‑term user trust and platform guidelines
- Mobile‑first product design skills
- Excellent interaction and visual design chops for small screens and high‑stakes surfaces (like paywalls and purchase flows)
- Strong UX writing instincts for concise, value‑focused copy and pricing messaging
- Proficiency in modern design tools (e.g. Figma) and comfort translating designs into no‑code builder configurations
- Customer‑facing communication skills
- Confidence leading workshops, design reviews, and strategy sessions with customers and prospects
- Ability to present options, pros/cons, and trade‑offs to both designers and non‑design stakeholders (founders, PMs, marketers)
- Great written communication for async collaboration in a remote team
- Values & ways of working
- You’re energized by our mission to help developers make more money
- You work iteratively and ship value quickly rather than waiting for perfection
- You have an ownership mentality: You see broken or unclear experiences and feel compelled to improve them
- You’re comfortable working in a fully remote, distributed team and collaborating across time zones
In your first month, you’ll:
- Learn RevenueCat’s products, especially paywalls, experiments, and analytics
- Join customer calls to understand our process and common challenges
- Audit a handful of existing customer paywalls and funnels and build your first recommendations
Within 3 months, you’ll:
- Own several customer projects end‑to‑end, from discovery through experiment analysis
- Ship multiple paywall and funnel variations using RevenueCat’s builders
- Partner with Advocacy/Content on at least one public asset (template, blog post, teardown, or webinar segment)
Within 6 months, you’ll:
- Be the go‑to expert internally for monetization UX, paywall patterns, and funnel optimization
- Maintain and evolve an internal “playbook” of best practices and tested patterns
- Influence the roadmap for our paywall and experiment tooling based on patterns you see across customers
Within 12 months, you’ll:
- Have materially improved conversion for a portfolio of customer apps, with clear before/after stories
- Help define our strategy for paywall templates and monetization UX guidance at scale
- Represent RevenueCat in public‑facing educational content (webinars, AMAs, workshops, or conference talks) as a leading voice on mobile monetization UX
WHAT WE OFFER:
- Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
- 10-year window to exercise vested equity options
- A fully remote environment designed around autonomy and flexibility
- 4-5 weeks of flexible time off annually
- Paid desk at a co-working space
- Workspace budget and continuous learning stipend
INTERVIEWING AT REVENUECAT
Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed.
MORE ON HOW WE WORK:
- How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21
- The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/
- How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/
- What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21
- What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21
Location: Remote - U.S.
About Airship
Airship is trusted by world’s leading brands such as Alaska Airlines, BBC and The Home Depot to drive revenue growth and customer loyalty with exceptional cross-channel customer experiences. Today, brands are challenged to deliver seamless, unified customer experiences across a fragmented array of channels and devices— apps, websites, email, SMS, wallets and more.
Airship’s no-code, AI-powered platform was designed with non-technical, growth-focused teams in mind, making it easy to create, test and orchestrate hyper-personalized experiences across all channels. With the ability to easily enrich customer data and rapidly launch growth experiments, Airship enables brands to deliver consistent, meaningful interactions that accelerate conversion and foster deeper customer relationships.
We invite you to be part of our journey in building products and delivering services that touch millions of customers around the world every day.
To learn more about us, visit
www.airship.com
, read our
blog
or follow us on
LinkedIn.
About the Role
Airship is looking for an Information Security Architect to own the design and evolution of our security architecture across cloud infrastructure, applications, and the CI/CD pipeline. You'll be Airship's technical authority on secure-by-design systems, partnering with Engineering, Platform, and Product teams to embed security into every phase of the development lifecycle.
This is a hands-on architecture role. You'll conduct threat modeling, perform architecture reviews, define security standards and reference architectures, and drive secure design patterns across Airship's GCP-based environment. You'll also evaluate emerging technologies, including AI and generative AI platforms, to identify security risks and define secure adoption patterns.
Why This Role
Depth over breadth.
You'll focus on what matters most: securing Airship's cloud infrastructure and CI/CD pipelines, conducting threat modeling, and shaping architecture decisions
GCP at the core.
Airship runs on Google Cloud Platform. You'll work deeply with GCP-native security capabilities, defining guardrails, segmentation patterns, logging standards, and workload protection across the platform
Secure the pipeline, secure the product.
CI/CD pipeline security is a primary focus. You'll design and implement controls that protect the software delivery lifecycle from code commit through production deployment
AI-forward security.
You'll evaluate and secure AI and GenAI platforms, define usage patterns for AI-assisted development tools, and help establish security architecture for Airship's AI-enabled features
Fully remote, flexible culture.
Airship's Digital First approach means flexible, remote work is the norm, with a team that collaborates across timezones and geographies every day
Room to grow.
This role is a path toward senior security architecture, security leadership, or deeper cloud security specialization
What You'll Do*
Design, develop, and maintain Airship's security architecture, including reference architectures, secure design patterns, and technical security standards
Perform security architecture reviews for enterprise applications, cloud platforms, infrastructure services, and technology integrations, ensuring alignment with security standards and risk posture
Conduct threat modeling and technical risk assessments to identify security gaps and recommend mitigation strategies
Define and implement cloud security guardrails, network segmentation patterns, logging standards, and access control models across Airship's GCP environment
Partner with Engineering and DevOps teams to integrate security controls into the CI/CD pipeline, including secure build processes, container security, Infrastructure-as-Code (IaC) security, secrets management, and software supply chain integrity
Evaluate proposed architecture and design changes from engineering teams, analyze their security impact, and make recommendations
Assess emerging technologies (including AI platforms, generative AI tools, and AI-assisted development technologies) to identify security risks and define secure usage patterns
Develop security guidance for API security, application authentication (SAML, OAuth2), encryption, and identity and access management
Research security trends, emerging attack methods, and new classes of vulnerabilities to proactively reduce the risk of breach
Leverage AI-enabled tools and automation to improve security analysis, architecture review workflows, and threat detection
Partner with security tooling teams to evaluate enterprise security tools for architectural fit, integration models, and long-term scalability
Participate in the Security on-call rotation and respond to incidents
Provide technical security guidance for complex customer inquiries that require deep architectural expertise
Mentor colleagues across the organization on secure design principles and security best practices
*Duties described are not a comprehensive list. Additional tasks may be assigned from time to time, and responsibilities may be amended at any time at the sole discretion of the Employer.
What We're Looking For
8+ years of experience in information security, security architecture, cloud security engineering, or a related technical discipline
Deep expertise in Google Cloud Platform (GCP) security, including native security capabilities, cloud architecture patterns, and workload protection
Hands-on experience securing CI/CD pipelines, including container security, IaC security, secrets management, and DevSecOps practices
Experience conducting threat modeling for complex, distributed systems using standard methodologies
Experience performing security architecture and design reviews for cloud-native applications and infrastructure
Proficiency in at least one scripting language (e.g., Python, Java, Bash/shell)
Working knowledge of network security concepts, including segmentation, Zero Trust principles, firewalls, and access control models
Working knowledge of identity and access management concepts, including SSO, MFA, federation, and least-privilege access
Strong understanding of application security, including OWASP, API security, secure SDLC practices, and authentication protocols (SAML, OAuth2)
Working knowledge of how to protect and administer macOS, Linux, and Windows systems
Ability to translate security requirements into practical, scalable technical solutions
Strong written and verbal communication skills, with a talent for explaining complex security concepts to both technical and non-technical audiences
Experience experimenting with AI tools in your personal or professional life
We'd Be Delighted If You Also Have
One or more industry certifications (e.g., CISSP, CCSP, Google Cloud Professional Security Engineer, OSCP, GIAC certifications)
Experience with enterprise security technologies such as Splunk, CrowdStrike, Rapid7, Vanta, Okta, and DLP solutions
Familiarity with AI security concepts, secure AI platform adoption, and AI risk frameworks (e.g., NIST AI RMF, ISO 42001)
Experience developing security reference architectures, design patterns, and technical standards documentation
Experience with Kubernetes security, container orchestration, and cloud-native security tooling (CSPM, CWPP)
Knowledge of data security practices including encryption, data classification, DLP, and key management
Experience evaluating third-party technologies and conducting technical security assessments for vendor platforms
Work Location & Travel Requirements
Airship’s ‘Digital First’ approach to work means that for the majority of our roles, work can be performed remotely, either some or most of the time. Airship believes that flexible work contributes to a more productive and more equitable work environment, and that Airshippers are able to collaborate, innovate, and support one another across different locations and timezones.
Some roles may require that employees perform their work from a specific location to support business activities, and/or be within proximity to an Airship office location or customer or partner locations, while other roles can be performed 100% remotely.
This position is
fully remote
and may require
up to 10%
travel based on business needs or as requested by your manager.
Compensation
Starting Pay Range:
$130,000-$160,000 USD per year
This is a good faith estimate of the base compensation we reasonably expect to pay for this position upon hire. Actual starting pay may vary based on factors such as relevant skills, work experience, market demands, and location. All offers include stock options so employees have the opportunity to benefit from Airship’s success.
Benefits & Perks
Competitive medical, dental, and vision insurance options for you and your dependents
Flexible time off, company paid holidays, paid parental leave, and paid volunteer time off
Support for your overall wellbeing with mental health and wellness resources
Employer-subsidized life insurance as well as short-term and long-term disability
A digital-first work environment and a monthly stipend to support remote work
Mentorship and growth opportunities to build skills and accelerate professional development
And more!
We use artificial intelligence tools in our recruitment process as decision-support tools only. Airship's People Operations team reviews all AI-generated scores and recommendations before making any hiring determination. No applicant is rejected solely on the basis of an AI-generated output. Depending on your location, you may have the right to request human review of any AI-assisted employment decision or to opt out of AI evaluation. To make a request or learn more about how we use AI in hiring, contact
privacy@airship.com
or visit
airship.com/legal
.
California residents can view the CCPA disclosure notice
here
.
**
Please Note:
To ensure the security of your personal information, Airship will only contact candidates through email addresses ending with “@airship.com”.
Hiring Commitment
Airship is committed to fostering a diverse work environment and providing equal employment opportunities to all applicants and employees. We welcome your application and our hiring and employment decisions are made irrespective of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. In alignment with our commitment to equal opportunity, Airship will consider for employment all qualified applicants, including those with criminal histories, in a way that adheres to the principles of fairness and the requirements of local Fair Chance laws, where applicable.
By submitting this application, I affirm that the facts set forth in it are true and complete to the best of my knowledge. I understand that if I am employed, false statements, omissions, or misleading information given in my application, interview(s), or in a background check may result in dismissal.
Location: United States, San Mateo, CA
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.
Summary
Would you like to help ensure the quality of PlayStation® peripherals and firmware? Join the team delivering innovative test solutions for PlayStation® Link™ devices, where your work will directly impact performance, stability, and the player experience.
Sony Interactive Entertainment has a great opportunity in the Quality Engineering department! We are seeking a self-motivated engineer with strong Python and test automation skills and a focus on quality, consistency, and thoughtful testing practices.
As a Software Development Engineer in Test Contractor, you’ll work hands-on with our peripherals and own automated test coverage for specific features across multiple platforms, alongside senior engineers.
We value teamwork and continuous learning.
Responsibilities
In this role, you'll work where firmware, hardware, and platform software meet, building the tests that check them and keeping that automation healthy.
Write Python automation suites for firmware and platform features
Perform integration testing on PlayStation® 5, PlayStation® Portal, and Windows
Improve the shared automation frameworks and test infrastructure
Troubleshoot test failures, using execution data to find flaky or slow tests
Collaborate with QA, Development, and Product teams to align on test coverage
Qualifications
We’re looking for someone who’s as comfortable writing test code as working out why it failed.
Strong Python skills, including writing automated tests in pytest and Appium with minimal supervision
Experience with Git for version control
Experience configuring Jenkins CI/CD jobs and troubleshooting pipeline failures
Experience using test case management tools like qMetry or TestRail
Effective communication and collaboration skills in a cross-functional team
Bachelor's degree in CS, Engineering, or related field, or equivalent experience
Nice to Have
If you bring any of these, we’d love to hear about them!
Understanding of embedded firmware testing, including basic electrical concepts like current draw, voltage levels, and battery diagnostics
Experience testing or interacting with Windows-based drivers
Familiarity with PlayStation® SDK development
Experience programming in C or C++ (modern C++ preferred, e.g., C++17)
At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click
here
to learn more.
The estimated base pay range for this role is listed below, this is an hourly rate.
$52
—
$78 USD
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 (where applicable) 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: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
On the ML Fraud team, you’ll build and improve machine learning systems that make real-time transaction decisions, protecting consumers and merchants while balancing fraud loss, customer experience, and conversion. You’ll work closely with experienced ML engineers, platform partners, and cross-functional stakeholders to take models from idea to prototype to production, and to keep them healthy with strong measurement and monitoring as fraud patterns evolve.
What you’ll do
- You will lead development of new fraud prediction models using a mix of approaches for tabular, graph, and behavioral data
- You will build and scale feature pipelines and training datasets from proprietary and third-party signals, partnering with data and platform teams when needed.
- You will prototype new modeling ideas and features, run offline experiments, and drive the best-performing approaches into production with appropriate risk controls.
- You productionize models: integrate into batch and/or real-time decision systems, and improve reliability, latency, and operational robustness.
- You will instrument and monitor model and data health, and help define retraining/backtesting workflows as fraud patterns evolve.
- Identify and implement foundational improvements to how the team builds models.
- You will collaborate across Engineering, Fraud Analytics, Product, and ML Platform to define requirements, evaluate tradeoffs, and communicate results clearly to both technical and non-technical audiences.
What we look for
- You have 6+ years experience researching, training, tuning and launching ML models at scale. Relevant PhD can count for up to 2 years of experience.
- Track record of delivering high impact machine learning models in a low latency live setting
- Strong Python skills and experience writing production-quality code.
- Experience building and evaluating models for tabular classification problems (preferably gradient-boosted decision trees like LightGBM/XGBoost/CatBoost, or similar).
- Experience with a deep learning framework (PyTorch preferred).
- Experience working with distributed data processing or parallel compute frameworks (Spark preferred; Ray/Dask or similar).
- Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow, or equivalent internal platforms).
- Proficient in using AI-powered developer tools (e.g., Claude Code, Cursor, or similar) to accelerate iteration, debugging, and code quality as part of day-to-day development workflows.
- You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code.
- You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.
- Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
- You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
Pay Grade - N
Equity Grade - 6
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
CAN base pay range per year: $153,000 - $213,000
Location - Remote Canada
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
ABOUT THE ROLE
Checkout.com http://Checkout.com is looking for an experienced Senior Data Scientist to lead advanced optimisation projects and champion the development of robust, sustainable ML architectures. You will be responsible for the enhancing payment flow through data and ML services, advancing the complex problem of multi-objective optimisation. You will work closely with other Senior and Staff Data Scientists to shape the architecture of our decisioning systems.
KEY RESPONSIBILITIES
- Lead projects and architecture design for multi-objective optimisation and scalable models.
- Create custom loss functions, evaluation, and tuning frameworks that reflect complex business problems.
- Collaborate with product stakeholders to align technical strategy with business goals and resolve blockers across the team.
- Apply efficient data transformations using distributed computing (e.g., Spark, Dask) and ensure robust test coverage for production systems.
- Mentor junior team members and utilise model explainability methods to drive feature performance improvements.
ABOUT YOU
- 5+ years of experience in designing, building and maintaining machine learning models to solve complex, large-scale business problems.
- Deep understanding of frequentist and Bayesian statistics, plus supervised and unsupervised modelling techniques.
- Proven experience modelling complex interactions (e.g., cluster or network effects).
- Expertise in model explainability to tune feature engineering and understand feature interactions.
- Ability to write high-quality, production-grade Python code and collaborate effectively with non-technical stakeholders.
- Proficient in leveraging LLMs for coding support and process optimisation to maximise personal and team productivity.
- Adept at tuning technical communication for broad audiences.
- Proven ability to build trusting relationships with product stakeholders and deeply understand business models.
NICE TO HAVE
- Experience with distributed general-purpose cluster-computing.
- Proven experience designing and deploying recommender systems, contextual bandits, or network intelligence applications.
- Experience in fintech, payments or similar domains.
- Experience with Docker, AWS/GCP, and modern ML deployment practices.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: Paris
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Role summary
As a Product Security Engineer within the Cybersecurity organization, you will be the dedicated security partner for one or more product organizations (such as Vibe, Studio or Forge).
You will work alongside engineers, researchers and product managers to ensure security is built into every stage of the product lifecycle—from early design and architecture decisions through implementation, production deployment and continuous evolution.
Your mission is to help engineering teams build secure products without slowing them down. Rather than acting as a gatekeeper, you will enable teams to make sound security decisions through secure-by-design principles, pragmatic engineering guidance and scalable security automation.
You will own the Product Security strategy for your product portfolio, influence engineering decisions, and help define how secure software is built across one of the world's leading AI companies.
What you will do
- Serve as the dedicated Product Security partner for one or more product organizations.
- Drive security throughout the entire product lifecycle, from design and architecture reviews to production deployment and ongoing operation.
- Lead threat modeling, security architecture reviews and risk assessments for new features, APIs and major architectural changes.
- Define pragmatic security requirements and secure-by-default patterns that enable engineering teams to ship safely at high velocity for a specific product.
- Review critical designs and code, focusing on authentication, authorization, tenant isolation, data protection, cryptography and other high-impact security controls.
- Design product-specific security validation strategies, including targeted testing, abuse-case development and guided agent-based security assessments tailored to each product's architecture and workflows.
- Partner with engineering teams to prioritize and remediate vulnerabilities identified through code reviews, penetration testing, bug bounty programs and automated security testing.
- Collaborate with Security Engineering to improve reusable security platforms, developer guardrails and security capabilities integrated into the SDLC.
- Champion secure software engineering through coaching, technical leadership, reusable design patterns and Security Champion programs.
- Define Product Security metrics, continuously improve the security posture of your products and help shape Product Security practices across the company.
What we're looking for:
- 5+ years of experience in Product Security, Application Security or Software Engineering with a strong security focus.
- Strong understanding of modern software architecture, distributed systems, APIs and cloud-native applications.
- Demonstrated experience performing threat modeling, architecture reviews and secure design assessments.
- Deep understanding of modern software security, including authentication, authorization, cryptography, secrets management, tenant isolation, secure data flows and common vulnerability classes (OWASP Top 10, CWE).
- Strong software engineering skills in Python, Go, TypeScript or similar languages, with the ability to review production code and build security automation.
- Experience with application security testing techniques, including manual code review, penetration testing, bug bounty programs.
- Experience designing product-specific security testing approaches, including security automation or agent-based testing, is highly valued.
- Strong understanding of Secure SDLC principles from product design through production deployment and long-term maintenance.
- Excellent communication and influencing skills, with the ability to earn trust across engineering organizations and balance security, product delivery and developer experience.
- A pragmatic, engineering-first mindset with strong technical judgment and a focus on solving meaningful security problems.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Brussels, Belgium
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
As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments.
This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout.
Responsibilities
Client & Partner Engagement
Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution.
Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures).
Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach.
Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies.
Implementations Oversight
Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment.
Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers.
Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning.
Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments.
Cross-functional Coordination
Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution.
Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments.
Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints.
Maintain structured communication flows across all stakeholders involved in the implementation lifecycle.
Governance & Reporting
Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs.
Produce executive-level updates summarizing progress, risks, blockers, and next steps.
Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects.
Support escalation management and ensure timely resolution of technical or operational challenges.
Core Experience
5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments.
Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners).
Strong ability to operate at the intersection of technical and business domains.
Technical Understanding
Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures.
Understanding of APIs, SDK integrations, and system architecture patterns.
Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients.
Communication & Execution
Strong communication and stakeholder management skills, including experience working with enterprise or government entities.
Structured approach to project tracking, documentation, and governance.
Ability to manage ambiguity and operate in fast-evolving, early-stage environments.
Nice to Have
Experience with decentralized technologies, blockchain, or privacy-preserving systems.
Exposure to AI infrastructure tooling or MLOps workflows.
Experience in regulated industries or public sector projects.
Basic familiarity with programming or scripting environments (Python, APIs, CLI tools).
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: Paris, France
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
As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments.
This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout.
Responsibilities
Client & Partner Engagement
Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution.
Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures).
Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach.
Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies.
Implementations Oversight
Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment.
Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers.
Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning.
Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments.
Cross-functional Coordination
Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution.
Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments.
Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints.
Maintain structured communication flows across all stakeholders involved in the implementation lifecycle.
Governance & Reporting
Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs.
Produce executive-level updates summarizing progress, risks, blockers, and next steps.
Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects.
Support escalation management and ensure timely resolution of technical or operational challenges.
Core Experience
5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments.
Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners).
Strong ability to operate at the intersection of technical and business domains.
Technical Understanding
Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures.
Understanding of APIs, SDK integrations, and system architecture patterns.
Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients.
Communication & Execution
Strong communication and stakeholder management skills, including experience working with enterprise or government entities.
Structured approach to project tracking, documentation, and governance.
Ability to manage ambiguity and operate in fast-evolving, early-stage environments.
Nice to Have
Experience with decentralized technologies, blockchain, or privacy-preserving systems.
Exposure to AI infrastructure tooling or MLOps workflows.
Experience in regulated industries or public sector projects.
Basic familiarity with programming or scripting environments (Python, APIs, CLI tools).
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: Bucharest, Romania
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
As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments.
This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout.
Responsibilities
Client & Partner Engagement
Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution.
Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures).
Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach.
Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies.
Implementations Oversight
Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment.
Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers.
Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning.
Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments.
Cross-functional Coordination
Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution.
Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments.
Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints.
Maintain structured communication flows across all stakeholders involved in the implementation lifecycle.
Governance & Reporting
Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs.
Produce executive-level updates summarizing progress, risks, blockers, and next steps.
Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects.
Support escalation management and ensure timely resolution of technical or operational challenges.
Core Experience
5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments.
Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners).
Strong ability to operate at the intersection of technical and business domains.
Technical Understanding
Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures.
Understanding of APIs, SDK integrations, and system architecture patterns.
Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients.
Communication & Execution
Strong communication and stakeholder management skills, including experience working with enterprise or government entities.
Structured approach to project tracking, documentation, and governance.
Ability to manage ambiguity and operate in fast-evolving, early-stage environments.
Nice to Have
Experience with decentralized technologies, blockchain, or privacy-preserving systems.
Exposure to AI infrastructure tooling or MLOps workflows.
Experience in regulated industries or public sector projects.
Basic familiarity with programming or scripting environments (Python, APIs, CLI tools).
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: Amsterdam, Netherlands
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
As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments.
This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout.
Responsibilities
Client & Partner Engagement
Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution.
Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures).
Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach.
Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies.
Implementations Oversight
Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment.
Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers.
Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning.
Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments.
Cross-functional Coordination
Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution.
Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments.
Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints.
Maintain structured communication flows across all stakeholders involved in the implementation lifecycle.
Governance & Reporting
Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs.
Produce executive-level updates summarizing progress, risks, blockers, and next steps.
Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects.
Support escalation management and ensure timely resolution of technical or operational challenges.
Core Experience
5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments.
Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners).
Strong ability to operate at the intersection of technical and business domains.
Technical Understanding
Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures.
Understanding of APIs, SDK integrations, and system architecture patterns.
Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients.
Communication & Execution
Strong communication and stakeholder management skills, including experience working with enterprise or government entities.
Structured approach to project tracking, documentation, and governance.
Ability to manage ambiguity and operate in fast-evolving, early-stage environments.
Nice to Have
Experience with decentralized technologies, blockchain, or privacy-preserving systems.
Exposure to AI infrastructure tooling or MLOps workflows.
Experience in regulated industries or public sector projects.
Basic familiarity with programming or scripting environments (Python, APIs, CLI tools).
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
As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments.
This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout.
Responsibilities
Client & Partner Engagement
Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution.
Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures).
Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach.
Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies.
Implementations Oversight
Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment.
Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers.
Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning.
Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments.
Cross-functional Coordination
Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution.
Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments.
Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints.
Maintain structured communication flows across all stakeholders involved in the implementation lifecycle.
Governance & Reporting
Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs.
Produce executive-level updates summarizing progress, risks, blockers, and next steps.
Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects.
Support escalation management and ensure timely resolution of technical or operational challenges.
Core Experience
5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments.
Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners).
Strong ability to operate at the intersection of technical and business domains.
Technical Understanding
Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures.
Understanding of APIs, SDK integrations, and system architecture patterns.
Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients.
Communication & Execution
Strong communication and stakeholder management skills, including experience working with enterprise or government entities.
Structured approach to project tracking, documentation, and governance.
Ability to manage ambiguity and operate in fast-evolving, early-stage environments.
Nice to Have
Experience with decentralized technologies, blockchain, or privacy-preserving systems.
Exposure to AI infrastructure tooling or MLOps workflows.
Experience in regulated industries or public sector projects.
Basic familiarity with programming or scripting environments (Python, APIs, CLI tools).
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: Warsaw, Poland
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
As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments.
This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout.
Responsibilities
Client & Partner Engagement
Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution.
Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures).
Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach.
Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies.
Implementations Oversight
Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment.
Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers.
Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning.
Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments.
Cross-functional Coordination
Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution.
Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments.
Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints.
Maintain structured communication flows across all stakeholders involved in the implementation lifecycle.
Governance & Reporting
Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs.
Produce executive-level updates summarizing progress, risks, blockers, and next steps.
Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects.
Support escalation management and ensure timely resolution of technical or operational challenges.
Core Experience
5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments.
Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners).
Strong ability to operate at the intersection of technical and business domains.
Technical Understanding
Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures.
Understanding of APIs, SDK integrations, and system architecture patterns.
Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients.
Communication & Execution
Strong communication and stakeholder management skills, including experience working with enterprise or government entities.
Structured approach to project tracking, documentation, and governance.
Ability to manage ambiguity and operate in fast-evolving, early-stage environments.
Nice to Have
Experience with decentralized technologies, blockchain, or privacy-preserving systems.
Exposure to AI infrastructure tooling or MLOps workflows.
Experience in regulated industries or public sector projects.
Basic familiarity with programming or scripting environments (Python, APIs, CLI tools).
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
As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments.
This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout.
Responsibilities
Client & Partner Engagement
Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution.
Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures).
Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach.
Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies.
Implementations Oversight
Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment.
Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers.
Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning.
Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments.
Cross-functional Coordination
Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution.
Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments.
Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints.
Maintain structured communication flows across all stakeholders involved in the implementation lifecycle.
Governance & Reporting
Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs.
Produce executive-level updates summarizing progress, risks, blockers, and next steps.
Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects.
Support escalation management and ensure timely resolution of technical or operational challenges.
Core Experience
5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments.
Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners).
Strong ability to operate at the intersection of technical and business domains.
Technical Understanding
Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures.
Understanding of APIs, SDK integrations, and system architecture patterns.
Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients.
Communication & Execution
Strong communication and stakeholder management skills, including experience working with enterprise or government entities.
Structured approach to project tracking, documentation, and governance.
Ability to manage ambiguity and operate in fast-evolving, early-stage environments.
Nice to Have
Experience with decentralized technologies, blockchain, or privacy-preserving systems.
Exposure to AI infrastructure tooling or MLOps workflows.
Experience in regulated industries or public sector projects.
Basic familiarity with programming or scripting environments (Python, APIs, CLI tools).
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: 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
As part of the Technology Distribution team of Tether Data, we are seeking an Engagement Manager to lead the implementation of AI-driven initiatives powered by QVAC, Tether’s SDK for local AI and delegated inference. The role focuses on orchestrating complex, multi-stakeholder deployments of decentralized AI solutions across enterprise, government, and institutional environments.
This position combines client engagement, technical coordination, and delivery oversight to ensure successful onboarding and execution of AI use cases, ranging from edge AI deployments to privacy-preserving inference systems. The Engagement Manager plays a central role in aligning client objectives with product capabilities, coordinating internal and external stakeholders, and driving implementations from initial scoping through production rollout.
Responsibilities
Client & Partner Engagement
Act as the primary point of contact for clients and partners during AI implementation initiatives, ensuring clear communication, expectation alignment, and structured execution.
Guide clients in translating business requirements into AI deployment strategies leveraging QVAC capabilities (local inference, delegated compute, privacy-preserving architectures).
Support Expansion team in shaping AI-related opportunities by providing input on feasibility, integration complexity, and delivery approach.
Identify opportunities to extend implementations across additional use cases, geographies, or Tether technologies.
Implementations Oversight
Lead end-to-end coordination of QVAC-based implementations from kickoff through production deployment.
Define implementation roadmaps, milestones, and dependencies across AI models, infrastructure, and integration layers.
Ensure alignment between client expectations and actual product capabilities, avoiding scope drift or mispositioning.
Track progress across multiple concurrent AI deployments, ensuring timely delivery and readiness for production environments.
Cross-functional Coordination
Coordinate closely with product, engineering, and research teams to align on QVAC capabilities, limitations, and roadmap evolution.
Facilitate integration between client systems and QVAC components, including model deployment pipelines, APIs, and compute environments.
Work with legal and compliance teams where required, particularly in sensitive AI deployments involving data locality or privacy constraints.
Maintain structured communication flows across all stakeholders involved in the implementation lifecycle.
Governance & Reporting
Establish and maintain governance frameworks including implementation plans, risk tracking, and decision logs.
Produce executive-level updates summarizing progress, risks, blockers, and next steps.
Ensure documentation of implementation architectures, deployment patterns, and key learnings for reuse across future projects.
Support escalation management and ensure timely resolution of technical or operational challenges.
Core Experience
5+ years of experience in program management, technical account management, or delivery roles within AI, data infrastructure, or complex technology environments.
Proven experience managing cross-functional implementations involving multiple stakeholders (internal teams, clients, external partners).
Strong ability to operate at the intersection of technical and business domains.
Technical Understanding
Familiarity with AI/ML deployment concepts, including model inference, edge/local AI, and distributed compute architectures.
Understanding of APIs, SDK integrations, and system architecture patterns.
Ability to engage in technical discussions with engineering teams while maintaining business-level clarity with clients.
Communication & Execution
Strong communication and stakeholder management skills, including experience working with enterprise or government entities.
Structured approach to project tracking, documentation, and governance.
Ability to manage ambiguity and operate in fast-evolving, early-stage environments.
Nice to Have
Experience with decentralized technologies, blockchain, or privacy-preserving systems.
Exposure to AI infrastructure tooling or MLOps workflows.
Experience in regulated industries or public sector projects.
Basic familiarity with programming or scripting environments (Python, APIs, CLI tools).
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.
УдалённоCiudad de México, Mexico; Moscow, Russia; Official employment under local labor law; contractor arrangements available for candidates from other countries
УдалённоRemote - Toronto, Ontario
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
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