Location: United States
Workplace: Remote
You lead rollouts, monitor health and usage, and keep stakeholders informed. You bring the technical fluency to guide deployment and adoption decisions, connect technical priorities to business outcomes, and engage specialists when deeper expertise is needed. You partner with Sales on expansions and renewals, and with Solutions, Support, Product, and Engineering on implementation, issues, and feedback.
What you’ll do here
- Own onboarding and rollout plans for new customers; coordinate with Sales and Solutions for a smooth, successful implementation of Coder’s platform.
- Remove barriers to adoption so customers achieve their desired outcomes expediently.
- Engage with customers to understand goals, challenges, and use cases, and provide tailored guidance and recommendations.
- Own the account’s technical success plan: translate customer goals and deployment context into adoption milestones, technical priorities, and a roadmap for broader use of Coder. Align owners and timelines, and track progress against agreed outcomes.
- Guide customer admins and platform teams on deployment readiness, configuration best practices, and ongoing adoption. Lead technical discovery, facilitate admin enablement, and troubleshoot common adoption blockers; coordinate Solutions, Support, or Engineering for architecture design, complex implementations, and deeper troubleshooting.
- Identify expansion opportunities within existing accounts, and partner with Sales on upsell and cross-sell motions.
- Oversee renewals and forecasting, ensuring timely, successful commitments.
- Serve as the primary point of contact for inquiries, issues, and escalations, and collaborate with Coder teams to resolve them.
- Monitor and report on customer health and usage, including technical risks and progress toward adoption milestones.
- Develop deep expertise in Coder’s products to provide global customer coverage.
What we’re looking for
- 5+ years in customer success or a technical customer-facing role, with experience independently managing enterprise accounts and driving adoption, retention, and expansion.
- Practical knowledge of cloud infrastructure, DevOps, developer tools, coding agents, platform engineering, CI/CD, and the SDLC; ability to discuss how these fit into a customer’s environment and inform their adoption strategy.
- Experience guiding customer onboarding and deployments in SaaS or self-hosted environments. Able to understand a deployment architecture, ask informed questions about infrastructure and security, investigate common issues using logs and documentation, and turn findings into clear next steps.
- Hands-on experience with Salesforce and other industry-standard CS platforms.
- History of building strong relationships across executive, business, and technical stakeholders.
- Consistent internal advocacy for customers and ability to provide actionable feedback for Product and cross-functional teams.
- Habit of staying current on industry trends, CS best practices, and the competitive landscape.
- Startup experience.
- High EQ with strong verbal communication and technical writing skills.
- Self-motivated with a creative and analytical approach to problem-solving.
Bonus tacos if you have
- Customer success or sales experience focused on developer tools.
- Renewal management experience.
- Experience with Totango or a similar Customer Success platform (e.g. Gainsight, Pylon).
- Tinker with AI and the developer tools ecosystem (e.g. ChatGPT, Claude, Cursor).
- Hands-on familiarity with Kubernetes, cloud environments (AWS, GCP, Azure), or infrastructure as code tools such as Terraform.
ABOUT CODER
Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com.
INTERVIEW PROCESS
We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders.
AI USE DURING THE INTERVIEW PROCESS
As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process.
Not permitted: Using AI assistance during conversational interviews.
Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly.
OUR USE OF AI IN HIRING
We use AI tools to help manage our recruitment process efficiently and fairly. Specifically:
- Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first.
- Granola takes notes during our interview calls so our team can focus on the conversation with you.
All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models.
In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf.
If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.
CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER
We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.
Location: Montréal
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 an Enterprise AE in our Canadian market, you will play a crucial role in driving Mistral’s adoption among large enterprise customers, with a particular focus on financial institutions and large enterprises across various industries. Based in Montreal, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams. Your strategic vision and execution will be instrumental in establishing Mistral as a leading AI solutions provider in Canada. As this role covers Quebec, fluency in French is required to engage effectively with customers, partners, and stakeholders in the Quebec market.
What You Will Do
Lead Development (Strategic Outbound and Qualified Inbound):
• Conduct strategic outreach and manage warm introductions to potential enterprise customers.
• Convert inbound leads where there are opportunities for upselling or more bespoke agreements.
Value Proposition Validation for Customers:
• Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process.
• Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts.
Deal Management & Closing:
• Develop and execute strategic sales plans to convert leads into valued customers.
• Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams.
• Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams.
Executive Engagement:
• Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organizations.
• Understand their specific challenges and position Mistral's solutions as integral to their strategic initiatives.
Technical Aptitude:
• Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients.
• Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases.
• Collaborate with our technical team to address any customer inquiries or concerns.
Training and Enablement:
• Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities.
What We're Looking For
- 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product.
- Deep understanding of the Canadian market dynamics and enterprise landscape, including the Quebec business environment, with strong knowledge of the financial services sector.
- Experience selling into financial institutions and other large regulated enterprises.
- Experience of consultative selling of highly complex, technical products.
- Bachelor's and/or Master's degree in Business, Computer Science, or a related field.
- Significant work experience within the AI ecosystem or related data/infrastructure field.
- Experience working at a successful, fast-growing startup, ideally in deep-tech.
- Strong technical skills to navigate quickly evolving products and steer technical discussions.
- Fluency in both French and English (written and verbal) is required for this role.
- Outstanding negotiation and communication skills to build relationships and close deals effectively.
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: Toronto
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 an Enterprise AE in our Canadian market, you will play a crucial role in driving Mistral’s adoption among large enterprise customers, with a particular focus on financial institutions and large enterprises across various industries. Based in Toronto, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams. Your strategic vision and execution will be instrumental in establishing Mistral as a leading AI solutions provider in Canada.
What You Will Do
Lead Development (Strategic Outbound and Qualified Inbound):
• Conduct strategic outreach and manage warm introductions to potential enterprise customers.
• Convert inbound leads where there are opportunities for upselling or more bespoke agreements.
Value Proposition Validation for Customers:
• Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process.
• Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts.
Deal Management & Closing:
• Develop and execute strategic sales plans to convert leads into valued customers.
• Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams.
• Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams.
Executive Engagement:
• Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organizations.
• Understand their specific challenges and position Mistral's solutions as integral to their strategic initiatives.
Technical Aptitude:
• Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients.
• Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases.
• Collaborate with our technical team to address any customer inquiries or concerns.
Training and Enablement:
• Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities.
What We're Looking For
- 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product.
- Deep understanding of the Canadian market dynamics and enterprise landscape, with strong knowledge of the financial services sector (banking, insurance, asset management).
- Experience selling into financial institutions and other large regulated enterprises.
- Experience of consultative selling of highly complex, technical products.
- Bachelor's and/or Master's degree in Business, Computer Science, or a related field.
- Significant work experience within the AI ecosystem or related data/infrastructure field.
- Experience working at a successful, fast-growing startup, ideally in deep-tech.
- Strong technical skills to navigate quickly evolving products and steer technical discussions.
- Outstanding negotiation and communication skills to build relationships and close deals effectively.
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: Canada; San Francisco; United States; New York; Ottawa; Toronto; Montreal
Workplace: Remote
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
WHY THIS ROLE?
This role is for a highly experienced Back-End Software Engineer who wants to work on core systems that shape how the platform (Model Vault) operates. You will help define the architecture of the platform where reliability, security, performance, and simplicity all matter, and where many of the problems do not have off-the-shelf solutions.
Model Vault is Cohere’s inference platform for deploying and operating models securely at enterprise scale. The team owns the systems between a customer and the underlying AI infrastructure, including identity, deployments, metering, billing, security, privacy, and confidential computing. We are strengthening these systems as Model Vault grows, with the goal of scaling to millions of users and supporting some of the world’s most demanding enterprise workloads.
AS A SENIOR/STAFF SOFTWARE ENGINEER, YOU WILL:
- Evolve and scale the backend systems that power Model Vault, including authentication and authorization, deployment management, billing, metering, and customer lifecycle.
- Lead major architectural initiatives across identity, payments, usage systems, platform scalability, and other core product foundations.
- Build highly reliable control-plane services for provisioning, configuring, scaling, and operating model deployments across clouds and hardware platforms.
- Design APIs and distributed systems with strong guarantees around correctness, consistency, isolation, failure recovery, idempotency, and observability.
- Build security and privacy into the platform architecture, including tenant isolation, least-privilege access, auditability, secrets management, encryption, and confidential computing boundaries.
- Solve complex problems that span backend systems, cloud infrastructure, security, and AI inference, where conventional SaaS patterns are often not enough.
- Drive projects end-to-end, from architecture and threat modeling through implementation, rollout, production operations, and iteration based on real customer workloads.
YOU MAY BE A GOOD FIT IF:
- You are a strong backend engineer with excellent fundamentals in distributed systems, databases, networking, operating systems, and security.
- You have strong programming fundamentals and experience building production systems in languages such as Go, Python, Java, C++, Rust, or similar. You write clean, maintainable, well-tested code and make thoughtful tradeoffs between simplicity, performance, and correctness.
- You have designed and operated production systems where correctness, availability, security, and performance mattered at significant scale.
- You can take ambiguous, high-impact technical problems, define the right architecture, and drive them through to reliable production systems.
- You have strong systems-design instincts and understand concepts such as concurrency, consistency, caching, queues, rate limiting, backpressure, failure domains, idempotency, and graceful degradation.
- You think deeply about security boundaries and understand authentication, authorization, identity, cryptography, secrets, tenant isolation, and how small implementation choices can create significant security risks.
- You are comfortable reasoning across backend services, APIs, databases, distributed systems, and the cloud infrastructure they run on.
- You are comfortable diving into unfamiliar codebases and debugging complex problems that cross service or system boundaries.
- You care about the details of production engineering, including instrumentation, capacity planning, migrations, backwards compatibility, incident response, and safe rollouts.
- You are comfortable challenging existing architecture and evolving foundational components when the system’s needs change.
- You have a track record of taking technically difficult projects from an unclear starting point to systems that other engineers and customers depend on.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
About Us:
At Medify, we’re on a mission to widen access to medicine and healthcare careers through world-class digital learning experiences. Since 2009, we’ve helped thousands of students prepare for high-stakes admissions tests, and we’re continuing to invest in our technology to build innovative, scalable products that support learners around the world.
The Role:
As an Engineering Manager, you’ll play a pivotal role in shaping both our engineering culture and technical direction. Working closely with the CTO, Product and Design teams, you’ll lead a team of talented full-stack engineers, helping them grow while ensuring we continue to deliver high-quality software that delights our users. This is a hands-on leadership role, with at least 50% of your time dedicated to engineering. You’ll contribute across the full software development lifecycle - from architecture and design through to development, testing and deployment - while driving engineering excellence and fostering a collaborative, high-performing team. Our current technology stack includes Ruby on Rails, React, PostgreSQL, with infrastructure transitioning from Heroku to AWS.
Key Responsibilities:
— Lead, mentor and support a team of full-stack engineers through coaching, regular 1:1s and performance reviews.
— Foster a culture of continuous learning, collaboration and technical excellence.
— Support career development, engagement and long-term capability building across the engineering team.
— Contribute to hiring by supporting interviews and recruitment of exceptional engineering talent.
— Design, develop and maintain scalable, high-quality software solutions.
— Collaborate closely with Product and Design teams to translate requirements into technical solutions.
— Participate in architectural decisions and help shape the future of the Medify platform.
— Conduct thoughtful code reviews and promote engineering best practices.
— Troubleshoot and resolve software issues while maintaining high standards of reliability and performance.
— Develop automated tests and contribute to a robust testing culture.
— Participate in agile planning, backlog refinement and sprint delivery.
— Stay up to date with emerging technologies and identify opportunities to improve our engineering practices.
About You:
You’ll be a technically strong engineering leader who enjoys developing people just as much as building great software. You’re comfortable balancing strategic leadership with hands-on development and thrive in a fast-moving, collaborative environment.
You’ll ideally have:
— 2+ years’ experience leading or managing software engineering teams.
— 5+ years’ experience in software development.
— Strong experience with modern software engineering practices and frameworks.
— Experience with Ruby on Rails and React (highly desirable).
— A proven track record of building scalable, maintainable software.
— Experience working in Agile development environments.
— Experience collaborating with cross-functional Product and Design teams.
— Experience recruiting, mentoring and developing engineers.
— Strong communication and stakeholder management skills.
— Excellent problem-solving ability with a focus on quality and continuous improvement.
Qualifications:
Degree in Computer Science, Engineering or a related discipline is desirable, but not essential.
Technical Skills:
— Strong knowledge of modern programming languages and software frameworks.
— Excellent understanding of software architecture, design principles, data structures and algorithms.
— Experience working with relational databases, APIs and networking.
— Knowledge of automated testing frameworks and software quality practices.
— Familiarity with DevOps tools and deployment pipelines.
— Ability to quickly learn and adopt new technologies.
— Excellent collaboration and communication skills.
What We Offer:
— Fully remote working with flexibility and autonomy.
— The opportunity to shape the future of Medify’s technology platform.
— A supportive, collaborative engineering culture that values continuous learning.
— A hands-on leadership role with real technical influence.
— The opportunity to work on products that positively impact thousands of aspiring healthcare professionals every year.
— Competitive salary and benefits package.
How to Apply:
If you’re passionate about building exceptional software, developing high-performing engineering teams and making a meaningful impact in education, we’d love to hear from you. Submit your application along with your CV using the link attached.
Location: London, United Kingdom
Workplace: remote
About the Job:
We are seeking a highly driven
Head of Financial Infrastructure Expansion
to develop strategic solutions for
banks, financial institutions, fintechs, payment companies, telcos, and large enterprises, institutions, governments globally
.
The role will act as a key
bridge between major external partners and Tether’s different business and product teams
, leveraging capabilities across
stablecoins, wallets, tokenization, payments, and other Tether’s solutions
to design tailored financial infrastructure solutions.
This is a hands-on role combining
deep financial knowledge, strong commercial capabilities, and the ability to connect multiple technologies and teams into compelling solutions
. You will identify opportunities, structure complex projects, coordinate internal stakeholders, close strategic partnerships, and build the team required to scale the function globally.
Responsibilities:
Business Development & Solution Structuring
Identify strategic opportunities with
banks, fintechs, payment companies, telcos, financial institutions, retailers and large enterprises globally
.
Understand customers needs and design tailored solutions leveraging the broader
Tether ecosystem
.
Combine capabilities across
stablecoins, wallets, tokenization, payments, and other products
into compelling commercial propositions.
Personally originate, structure, negotiate, and close high-value strategic partnerships and deployments.
Nurture current and build new relationships with CEOs, CFOs, CTOs, banking executives, treasury leaders, payment teams, and other senior stakeholders.
Cross-Team Coordination & Execution
Act as the
bridge between customers, external implementation partners and Tether’s internal product and business teams
.
Bring together the right capabilities and stakeholders to design and execute complex, multi-product projects.
Translate market and customer requirements into actionable opportunities for internal teams.
Own strategic projects from initial engagement through structuring, execution, and scale
Monitor the success of the project post implementation using select KPIs
Market Strategy & Team Leadership
Define priority markets, industries, partners, and financial infrastructure use cases.
Build and manage a global pipeline of strategic opportunities.
Build and lead the
Financial Infrastructure Expansion team globally
.
Establish KPIs, execution playbooks, and commercial processes.
Work closely with Tether’s regional Expansion teams to identify and accelerate opportunities.
Identify the best implementation partner to ensure successful execution of the projects
Strategic Representation
Position Tether as a strategic partner for organizations building the
next generation of financial products and infrastructure
.
Represent Tether in strategic meetings with major enterprises, financial institutions, governments, regulators, and industry leaders.
7+ years of experience across
banking, payments, fintech, financial infrastructure, or technology business development
.
Strong understanding of
payments, digital assets, wallets, tokenization, settlement, and financial infrastructure
.
Proven ability to understand complex customer needs and translate them into
multi-product solutions
.
Tangible experience personally originating, structuring, and closing large strategic partnerships.
Strong relationships with senior decision-makers across banks, financial institutions, fintechs, telcos, and large enterprises.
Exceptional communication, negotiation, and relationship-building skills.
Strong ability to work across different product, technical, commercial, legal, and regulatory teams.
Entrepreneurial mindset and experience building and managing high-performing teams.
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: Gurgaon, India
Workplace: remote
About Welo Data
Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment. Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai
About the Team
Welo Data's Trust & Safety function protects the integrity of a global, distributed workforce that powers AI data and annotation work. We run a multi-layered fraud detection stack combining identity verification checks, in-house behavioral signals, and platform activity data, and are actively building out a Trust & Safety Committee spanning four core workstreams: identity verification, location verification, account integrity, and multi-accounting detection. This is a hands-on investigative role, not a policy-only seat — you'll be working live cases from day one.
About the Role
We're looking for a Trust & Safety Specialist, based in India, to join our investigations team, working active fraud cases and supporting the broader fraud strategy program. You'll come in with real T&S, fraud/risk, or identity-verification experience from another platform, marketplace, gaming company, fintech, IDV vendor, or crowdsourced-workforce environment, and be ready to run investigations, process removals, and spot fraud patterns from week one.
What You Will Do
Run investigations end-to-end:
triage flagged accounts, review evidence (identity signals, behavioral flags, platform activity data), reach a disposition, and process removals in line with policy and SLA.
Own IDV review:
verify identity and location signals for flagged or high-risk accounts, distinguishing genuine edge cases from fraud.
Conduct manual audits and reviews:
prioritizing cases by risk and signal strength rather than intake order.
Detect multi-accounting and account integrity abuse:
recognize patterns across linked accounts, device/location overlap, and behavioral signals.
Apply a hypothesis-driven investigation method:
form a hypothesis, test it against the evidence, and reach a disposition that can be replicated and audited.
Contribute to detection improvement:
escalate emerging fraud vectors, false-positive/false-negative patterns, and rule gaps to the fraud strategy team.
Handle sensitive data responsibly:
apply GDPR-aligned data handling and deletion practices in every case.
Collaborate cross-functionally:
partner with Research Labs, Quality Strategy Architecture (QSA), and Forward Deployment Engineering on tooling gaps and process fixes surfaced by your casework
What You Bring (Must Have-s)
4+ years in a T&S, fraud/risk, or identity-verification investigations role — from a platform/marketplace T&S team, a fintech/payments risk team, an identity-verification vendor, or a crowdsourced/gig-workforce trust function.
Direct experience with identity/fraud signals — device fingerprinting, IP/geolocation checks, document verification, or behavioral fraud scoring.
Multi-accounting / account integrity pattern recognition — you've dealt with linked-account abuse, farming, or account sharing before, not just single-account review.
Case documentation discipline — you write clean, evidence-backed case notes that would survive an audit or an appeal.
Comfort with ambiguity and volume — you can prioritize a queue by risk, not just clear it by count.
Working knowledge of data privacy obligations (GDPR or equivalent) as they apply to case handling and data retention/deletion.
Nice to Have
Experience specifically in AI/ML data annotation, RLHF, or research operations workforce platforms.
Exposure to rule-based fraud detection engines and an opinion on rule sprawl vs. signal quality.
Familiarity with clustering/anomaly-detection approaches to fraud (even at a conceptual level).
Case management system experience (any ticketing or knowledge-base tooling).
Recommended Education
Bachelor's degree in Criminology, Law, Criminal Justice, Cybersecurity, Information Security, Data/Computer Science, or a related field.
Equivalent practical experience in T&S, fraud investigations, or identity verification will be considered in place of a degree.
Relevant certifications are a plus: CFE (Certified Fraud Examiner), CAMS (Certified Anti-Money Laundering Specialist), or IDV/identity risk vendor certifications.
Requirements
Deep experience as a Full Stack Developer with .NET and React
Good knowledge of REST and SOAP APIs, API management, and Agentic platforms
Experience with cloud-native development, integration platforms, and distributed systems
Exposure to Azure/AWS and platforms such as WSO2, Kong, or Boomi
Expected to contribute across backend, frontend, integration, testing, and deployment activities
Nice to have
Technical team leadership experience
We offer
Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
Competitive compensation that depends on your qualification and skills
Career development system with clear skill qualifications
Flexible working hours aligned to your schedule
Options to work remotely
Any questions?
Natalya
hh@itransition.com
Location: Brazil; Argentina
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the role
This is a brand new Adoption Strategist role sitting at the intersection of adoption, enablement, scaled programs, and product expertise so we expect the scope to evolve and want someone excited to build as it does. You'll design and run the programs - onboarding tracks, lifecycle campaigns, workshops, adoption playbooks - that drive corporate and mid-market customers to activate their core use case and expand into new ones. Everything you build has to scale across a high-volume book, not be custom to one account. You'll need deep product fluency - enough to be the most credible voice in the room on how to use the product well - without ever owning an account or its technical implementation directly. This is a builder role for someone extremely analytical, comfortable running live enablement at scale, and already advanced with AI tools to automate the systems behind it.
Since this is a new role, we expect the scope to evolve over time - being adaptable and excited to build is a core part of being successful here. Focus areas include, but aren't limited to:
- Drive strong adoption by building and delivering scalable enablement and activation programs that educate customers on best practices, and get them to time-to-value quickly on their core use case
- Develop deep product expertise across the entire ElevenLabs platform, with a focus on ElevenAgents and ElevenCreative - you're a product expert on our existing product and you're constantly the first to learn new products coming to market
- Proactively audit customer agents prompts, configurations, and feature setup to identify gaps, and share recommendations as a value-add service that drives deeper adoption
- Track and drive key leading and lagging adoption metrics, partnering with Revenue Operations to iterate on our reporting capabilities, and use those trends to develop data-driven adoption strategies and playbooks across the customer base in region
- Partner with Account Management and CX to deliver targeted adoption and enablement campaigns, including regional live workshops and webinars, based on opportunities or new product releases
- Engage with external implementation partner and internal teams to help unify adoption strategy across the customer journey (e.g., Solutions Engineering, GTM, Customer Experience, Product Marketing and Engineering)
- Partner with leadership on high-impact initiatives that support the local GTM team and global results
Requirements
- 6+ years in adoption, customer/partner enablement, digital CS programs, enterprise growth or similar role- at an AI-native or highly technical company with a large, low-touch book
- Experience with voice AI, TTS, conversational AI, or developer-facing products
- A track record of building adoption focused programs from the ground up: onboarding tracks, scaled adoption playbooks, self-serve content, and more
- You think in systems but are creative: you're always asking "how do we scale or automate this," and building automations and workflows with AI tools is ingrained in how you work
- Extremely analytical: you identify trends easily and use them to close gaps, surface opportunities or standardize best practices. You also identify data points that aren't yet tracked but would uncover new insights and change strategy
- Comfortable driving cross-functional outcomes without direct authority, working effectively with Account Management, FDE, RevOps, and GTM to move adoption forward
- Experience managing a high-volume book of business at scale, mid-market or commercial segment
- Language Requirements - Must be fluent in Spanish/Portuguese and English
Growth Potential
We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role:
- Growth Roles - Regional Adoption Lead
- Other teams: Account Management, Digital CX or Deployment Strategist
Location
This role can be based in Argentina or Brazil
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: United Kingdom, London
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.
Sony Interactive Entertainment
Security Architecture | Cloud | AI Security | Enterprise Platforms
We are seeking a Staff Security Architect to help shape and secure the next generation of enterprise, cloud, platform, and AI-enabled technology. This role combines deep security architecture expertise with strong engineering judgment and the ability to influence technical direction across complex, global environments. The successful candidate will partner with engineering, infrastructure, product, and security teams to identify systemic risk, develop scalable security patterns, and guide secure adoption of emerging technologies, including generative AI and agentic systems.
Key Responsibilities
Design, review, and approve security architecture for enterprise, cloud, SaaS, platform, and application environments, balancing business objectives, engineering constraints, and risk.
Lead cloud security architecture across AWS, Google Cloud, and hybrid environments, including identity, network security, data protection, logging and monitoring, key management, workload isolation, security posture management, and the effective use of native and third-party cloud security controls.
Define and review security architecture for SaaS and PaaS platforms, including identity federation, privileged access, tenant configuration, data protection, API and integration security, logging, third-party risk, and secure adoption of enterprise SaaS services.
Drive security throughout the software delivery lifecycle, including source control, CI/CD pipelines, build systems, artifact repositories, infrastructure as code, secrets management, code and artifact signing, software provenance, deployment automation, and security controls for developer platforms.
Lead security architecture for AI-enabled systems, including generative AI, large language models, retrieval-augmented generation, AI agents, model-serving platforms, and AI-assisted developer workflows.
Design mitigations for risks such as prompt injection, insecure tool use, excessive agency, sensitive-data disclosure, model or supply-chain compromise, unsafe output handling, and abuse of AI services.
Define security requirements for AI data, models, prompts, embeddings, vector stores, APIs, tools, and agent identities, including least-privilege access, secrets management, encryption, isolation, provenance, logging, monitoring, and lifecycle controls.
Architect and improve identity, authentication, authorization, network security, key management, cryptography, application security, and production security controls across complex environments.
Identify security design gaps in existing and proposed systems; translate findings into practical architecture improvements, reference patterns, hardening standards, preventative controls, and responsible automation that improves repeatability and operational effectiveness.
Provide technical leadership across multi-disciplinary teams, clearly articulating risks, tradeoffs, and recommended solutions to engineering leaders, business stakeholders, and audiences without a security background.
Required Qualifications
15+ years of relevant experience in security architecture, security engineering, product security, cloud security, infrastructure security, or related disciplines, with demonstrated leadership at senior or staff level.
Deep knowledge of security architecture principles across cloud, application, network, identity, platform, infrastructure, and enterprise environments.
Hands-on experience designing or securing cloud-based and containerized environments, including major cloud platforms such as AWS or Google Cloud.
Strong understanding of modern identity and access management, PKI, OAuth/OIDC, SAML, TLS, VPNs, secrets management, key management systems, cloud KMS, and HSMs.
Expertise in network and application security controls such as WAFs, NGFWs, segmentation, DMZ design, DDoS mitigation, load balancing, proxies, intrusion detection/prevention, and host-based controls.
Experience with secure software development, threat modeling, CI/CD and developer platforms, application security, and engineering mitigations across the software lifecycle.
Working knowledge of AI/ML security concepts and the ability to evaluate security risks in generative AI, LLM, and agentic system architectures, including data flows, trust boundaries, model access, and tool integrations.
Strong critical thinking, risk prioritization, communication, and influence skills, with the ability to lead through ambiguity and work effectively across global, cross-functional teams.
Bachelor's degree in Computer Science, Mathematics, Engineering, Information Security, or equivalent practical experience.
Preferred Qualifications
Experience securing AI/ML platforms, generative AI applications, model gateways, RAG architectures, vector databases, or agentic workflows in production environments.
Experience with AI security evaluation, red teaming, adversarial testing, model abuse testing, or control validation for AI-enabled systems.
Experience securing large-scale Linux, distributed, multi-tenant, or high-availability production environments.
Development or automation experience in Python, C++, Java, or similar languages.
Recognized technical leadership through patents, publications, open-source contributions, conference participation, teaching, or security community involvement.
Penetration testing, adversarial security, or attacker-minded design experience.
Master's degree or Ph.D. in Computer Science, Mathematics, Engineering, Information Security, or a related field.
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: Warsaw, Poland
What is Box?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
Why Box needs you:
The Content Creation team owns Notes and Canvas products of Box's platform. The functionality that this team builds is used by our largest cohorts of users (versus just admin users). They are the only true real-time service at Box, using web sockets to deliver a real-time editing product. It's a complex problem space that we are experts in, and it's a great team to join if you want to contribute to creating one of the most vital Box products. The team is mostly developing Front-End with React.js, for Back-End tasks they use mostly Node.js.
Responsibilities:
Develop high-quality, scalable, and responsive software using modern technologies.
Write clean, efficient, and maintainable code using industry best practices.
Partner with cross-functional teams to onboard, share knowledge, and align on current responsibilities and priorities
Participate in regular team meetings and manager 1:1s to ensure alignment, growth, and continuous improvement
Create clear technical documentation, reusable patterns, and examples to scale knowledge across engineering teams
Leverage AI tools (e.g., Claude, Cursor) to accelerate development, research, documentation, and bug triage while maintaining high standards of quality and security
Represent and advocate for Box Poland’s engineering excellence both internally and externally
Maintain and support one or more legacy codebases
Contribute to defining and implementing engineering standards across product teams
Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise.
Requirements:
6+ years of professional software development experience, with 3+ years of with significant backend contributions and 3+ years of frontend contributions.
Strong coding skills with demonstrated fluency in
Node.js + TypeScript
for backend.
Experience designing and implementing APIs and distributed services; solid grasp of system design and data modeling.
Demonstrated fluency in
JavaScript/TypeScript
with at least one modern frontend framework (
React
preferred). Strong understanding of state management, responsiveness, accessibility, performance, and security basics.
Some experience in design, building, and deploying high-quality software in cloud environments.
Strong knowledge of algorithms, data structures, software design principles, and object-oriented programming.
Passionate about new technologies with the capability to implement them in existing products.
Demonstrates ownership mentality and strives for excellence in both technical work and team interactions.
Proficient in English.
Nice to have:
Experience with Google Cloud Platform and/or Amazon Web Services.
Experience with Web sockets and real-time applications
Experience contributing to cross-platform solutions as part of a team
At Box, we believe that providing the best tools leads to the best outcomes. That's why we equip our engineers with AI-powered development tools like Cursor IDE and GitHub Copilot to help you write better code faster.
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to
work from their assigned office a minimum of 3 days per week
, with a focus on Tuesdays, Wednesdays, and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process.
BENEFITS
Check out the overview of the
benefits and additional perks offered at Box.
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week, with a focus on Tuesdays, Wednesdays, and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process.
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation".
For details on how we protect your information when you apply, please see our
Personnel Privacy Notice
. For more details on how Box Poland protects your information, please see our
Supplemental Personnel and Candidate Privacy Notice
.
NOTICE OF USE OF AI
At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage
here
.
Location: Limassol; Nicosia; Athens; Thessaloniki; Fully Remote - in other eligible locations
Workplace: hybrid
The Role:
We are looking for a Software Development AI Technical Expert to serve as the department’s designated AI specialist and lead the responsible evaluation, adoption and practical application of AI across Software Development and Software Quality Assurance.
The role will research emerging AI technologies, support experimentation and pilot projects, and translate successful solutions into practical tools, standards and development practices. You will provide technical guidance on AI-enabled development, code quality, security, AI advocacy, capability building and impact measurement.
You will work closely with Software Development and Software Quality Assurance teams to develop practical, responsible and measurable AI-native ways of working that improve productivity, quality, security and innovation.
The main responsibilities of the position include:
Act as the subject-matter specialist for AI-enabled Software Development and Software Quality Assurance, maintaining current knowledge of large language models, AI development tools, AI agents and emerging technologies.
Research and benchmark AI applications, tools, vendors and industry practices, assessing their relevance, maturity, limitations, security and potential value to the organisation.
Provide expert advice on the practical and technical application of AI across the Software Development Lifecycle, from requirements and design through coding, testing, deployment and monitoring.
Explore, prototype and evaluate AI capabilities and use cases, defining clear objectives, success criteria, evaluation methods and recommendations.
Contribute to AI pilots from concept through implementation and evaluation, identifying lessons learned, adoption requirements and opportunities for scaling successful solutions.
Support the transition of approved AI tools and practices into Software Development and Software Quality Assurance, including AI code assistants, automated code review, AI-supported testing and intelligent CI/CD practices.
Develop guidance, standards and best practices for the responsible use of AI and AI-generated code, covering quality assurance, security, data protection, intellectual property, maintainability and human oversight.
Establish and monitor measures of AI effectiveness and impact, including output quality, reliability, usability, developer experience, cycle time, defect rates, deployment frequency, test coverage and rework.
Assess the AI maturity of Software Development and Software Quality Assurance teams and recommend practical actions to improve organisational capability.
Support cultural change, knowledge-sharing and upskilling through playbooks, prompt libraries, FAQs, onboarding materials, reusable templates, case studies and communities of practice.
Collaborate with stakeholders across IT, the Group and other departments to identify and assess AI opportunities aligned with business priorities, roadmaps and projects.
Collaborate with AI representatives across the Group to share knowledge and support a coordinated approach to AI adoption.
Maintain relationships with vendors, research communities and industry peers, bringing relevant developments and insights back to the organisation.
Represent the Group, when requested, at conferences, external events and industry forums, contributing to presentations, demonstrations, articles and other technology-related activities.
Main requirements:
BSc/MSc in Computer Science, Data Science, Engineering or a related field, or equivalent practical experience.
At least 7 years of experience in IT engineering roles, including experience in a managerial or leadership role within a Software Development team.
Solid working knowledge of the modern AI landscape, including Large Language Models, AI agents, automation platforms, prompt engineering techniques and practical business applications.
Demonstrated experience modernising or transforming software development lifecycles through AI tooling and automation.
Deep understanding of modern SDLC practices, including CI/CD, DevOps and platform engineering, combined with hands-on experience with AI-powered development tools.
Strong Machine Learning and AI background, with hands-on experience building, prototyping or deploying AI solutions.
Experience contributing to governance frameworks covering quality assurance, security review or intellectual property considerations for AI-generated outputs.
Solid understanding of IT engineering metrics and data-driven measurement of development performance.
Exposure to AI or IT engineering maturity models and experience assessing team capabilities against defined frameworks.
Experience evaluating technology vendors and AI tooling through trials, benchmarking and recommendations.
Experience presenting to and working directly with senior or C-level stakeholders.
Public speaking or conference presentation experience in AI or technology, with the ability to inspire technical and non-technical audiences.
Innovative and curious mindset, with the ability to explore emerging technologies, challenge unsupported claims and identify practical applications.
Proficiency in written and spoken English.
Ability to work independently and collaboratively in fast-paced environments.
Strong analytical and problem-solving skills.
Strong organisational skills, with the ability to manage multiple initiatives and priorities.
Willingness and ability to continuously learn and upskill.
The following will be considered an advantage:
Experience in fintech, trading or financial services.
Experience working with or within an innovation lab or applied research environment.
Experience with AI or IT engineering maturity frameworks.
Experience representing an organisation at external technology events and industry forums.
Benefit from:
Attractive remuneration package
Intellectually stimulating work environment
Continuous personal development and international training opportunities
Attractive relocation package and support for a smooth relocation for you and your family
The Hiring Experience: What Awaits You
Let’s Connect – Intro Chat with Talent Acquisition
Deep Dive – First Interview with Your Future Team
Final Connection – Final Interview
All applications will be treated with strict confidentiality!
By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.
Location: Bulgaria
Company Background
Our client is a travel technology company developing cloud-native, AI-powered software for airlines and hospitality brands. Its products help customers improve commercial performance, reduce costs, and evolve their digital commerce capabilities. The company’s technology is designed to work alongside existing airline systems, allowing customers to introduce new capabilities without replacing their current technology landscape.
Project Description
You will contribute to a large-scale greenfield travel-technology initiative supporting the launch of a new airline operation. The project uses a modern commercial platform to enable flexible retailing, pricing, and digital shopping experiences across travel products and ancillary services.
Technologies
GCP, AWS
Wiz
Cloudflare WAF, Bot Management, DNS, TLS, DDoS Protection and Rate Limiting
Terraform
SonarCloud and Dependabot
Jira, PagerDuty and Slack
Python and Bash
What You'll Do
Own and continuously improve cloud security posture across GCP organizations and AWS accounts, including connector coverage, runtime sensor deployment on production clusters, custom policy development, finding-triage baselines, and integrations with Jira, PagerDuty, and Slack;
Operate and evolve the edge security layer, centralizing internet-facing protection through Cloudflare WAF, bot management, rate limiting, DNS/TLS, and origin routing for customer-facing production zones;
Tune security rules using real production traffic, manage allow-list requests, and enable other teams to use edge-security tooling effectively;
Support and automate vulnerability management and secure configuration, maintaining the intake of Wiz, SAST, penetration-test, and customer-reported findings, defining remediation baselines, and driving owners to closure;
Participate in security incident response for cloud events, including DDoS and bot attacks, supply-chain alerts, credential exposure, and data-handling incidents, while creating and maintaining detection, triage, and mitigation runbooks;
Help secure the software supply chain by owning SAST reporting in SonarCloud, dependency scanning with Dependabot, container base-image hardening, and the selection of SBOM and SCA tooling, and publish release-level security reports for engineering teams;
Produce technical evidence for SOC 2, PCI DSS, ISO 27001, and NIS2, including evidence of log-sink configuration and retention, access reviews, authenticated scanning, and IAM remediation, and map Wiz controls to relevant frameworks to make evidence collection repeatable;
Enable security self-service by training Platform, CloudOps, and Product Engineering teams on the tools they use, including Wiz and Cloudflare administration, mapping service catalogues to owners, and automating recurring customer-security and issue-triage reporting through scripting and AI-assisted workflows;
Advise and partner with engineering teams on the security of new platform integrations and AI/RAG services, contributing to the annual cloud-security roadmap and target-state architecture;
Job Requirements
5+ years of experience in cloud security or platform engineering with a security focus, including hands-on experience with GCP or AWS across IAM, audit logging, log routing, network security, and workload protection;
Production experience with a CNAPP/CSPM platform, such as Wiz (preferably) / Prisma Cloud / Orca / Google Security Command Center, including policy authoring, integrations, and runtime protection;
Hands-on administration of a WAF, CDN, and bot-management stack at scale;
Strong Terraform experience, including building modules for security tooling and WAF configuration, reviewing changes, and managing configuration drift and legacy infrastructure;
Experience with vulnerability management across cloud infrastructure, containers, and code, including SAST, SCA/dependency scanning, container image hardening, and penetration-test remediation tracking;
Experience routing cloud security signals to a SIEM or security-monitoring platform, such as Wazuh, Microsoft Sentinel, Google Security Operations, or Datadog Security Monitoring, and integrating actionable alerts with PagerDuty and Slack;
Scripting skills in Python or Bash for automation and security reporting;
Security incident-response experience in a production environment, including developing runbooks and managing vendor escalations;
Clear written and verbal communication skills, with the ability to train engineering teams and document security decisions;
Nice To Have
Experience automating security workflows, such as report generation and issue triage, with AI-assisted or LLM-based tooling;
Experience working across both GCP and AWS, experience with Azure;
Familiarity with Rego, OPA, or other policy-as-code languages;
Experience with identity and access-management tooling, including Okta SSO/SCIM, PAM solutions, and least-privilege reviews for cloud IAM;
Experience facilitating OWASP SAMM assessments, threat-modelling sessions, or security-champions programs;
Airline or travel-industry experience, including PCI-scoped payment flows, partner integrations, and customer-facing security reporting;
Experience supporting compliance with PCI DSS, SOC 2, ISO 27001, or NIS2;
Certifications such as Google Professional Cloud Security Engineer, CCSP, or AWS Certified Security – Specialty;
What Do We Offer
The global benefits package includes:
Technical and non-technical training for professional and personal growth;
Internal conferences and meetups to learn from industry experts;
Support and mentorship from an experienced employee to help you professional grow and development;
Health insurance;
Sports activities to promote a healthy lifestyle;
Flexible work options, including remote and hybrid opportunities;
Referral program for bringing in new talent;
Work anniversary program and additional vacation days.
Location: Intellias
Meet your recruiter
Olha Yakuba
olha.yakuba@intellias.com
https://www.linkedin.com...
Vacancy details
AI/ML Engineering
GenAI Engineer
Principal
Bulgaria, Poland, Spain
Remote
APPLY NOW
REFER A FRIEND
Intellias is seeking an experienced and highly motivated Agentic Software Engineer who is enthusiastic about AI and who is excited about creating real products using modern AI models, coding agents and AI-first engineering methods.
We are seeking a capable software engineer who has adopted a new approach to software development – one of using AI not just as an assistant but as an integral part of the engineering process.
What project we have for you
A Market Intelligence Suite is being developed by our client in order to bring together and provide a visual representation of large amounts of market data, key performance indicators, and analytical insights from various markets, giving business users a full overview of market performance and trends.
The product has already reached a workable stage and comprises a wide variety of dashboards, market views, KPIs and analytical features. The first version of the solution was developed by a small group of subject matter experts using AI-assisted or vibe-coding methods, not with the help of a traditional software development team.
As the product keeps on growing and the number of feature requests rises, we are seeking an Agentic Software Engineer who will bring strong software engineering skills and at the same time keep up the speed, experimentation and AI-first approach that made it possible for the product to develop so rapidly.
The engineer will work directly with domain experts who have a deep knowledge of the business ecosystem and will assist in turning their ideas and requirements into actual product capabilities.
The position will involve carrying out rapid feature development with the aid of AI while at the same time following software engineering best practices. As well as developing new features, the engineer will assist in strengthening the technical basis of the product by introducing the relevant practices in the areas of architecture, authentication and authorization, security, testing, maintainability, observability and reliable delivery.
It doesn’t involve the kind of development typically expected. What we’re after is someone who actually takes pleasure in experimenting with AI, who keeps up to date with new models and development tools, comes up with their own ideas, and always seeks out improved methods for building software using AI.
What you will do
Create and continuously improve new features and capabilities for the existing Market Intelligence Suite.
Deal directly with specialists in the field to get a clear understanding of business requirements and then convert these into actual product features.
Spread the dashboards, market views, key performance indicators, and analytical capabilities over a number of markets.
Take responsibility for the development of a feature from the very first idea and the creation of a rapid prototype right through to its implementation and validation.
Make extensive use of AI coding agents at all stages of the software development lifecycle, including during implementation, debugging, testing, refactoring and documentation.
Make sure that the current AI-generated codebase is understood, its issues are acknowledged, and it is constantly improved.
As the product develops, incorporate suitable software engineering best practices.
Implement the authentication, authorization and access-control mechanisms and then improve them.
Improve the application’s architecture, security, maintainability, testing, and reliability.
As the product’s capabilities develop, incorporate further data sources, APIs, and external services.
Improve logging, monitoring, observability, and troubleshooting capabilities.
Quickly prototype new ideas, check them together with experts in the field, and make improvements according to the feedback.
Keep on assessing new AI models, coding agents and development tools and incorporate methods that can enhance both the speed and quality of development.
Identify actively the opportunities for new product features, automation and more efficient methods of solving business problems.
Where suitable, question the current methods and suggest improved technical or product solutions.
Assist the broader team in constantly improving its AI-first/agentic engineering practices.
What you need for this
A solid hands-on experience in software engineering and a record of developing modern web applications.
Gaining practical experience by using AI coding agents and LLM-based development tools to develop actual software.
A true passion for AI, agentic engineering and AI-assisted software development.
Experience in using tools such as Claude Code, Cursor, Codex, GitHub Copilot or other similar AI coding environments.
The ability to convert a business problem, a feature request, or a vaguely defined idea into a working product solution on one’s own.
Have experience working with applications that involve large amounts of data, as well as with dashboards, analytics, and data visualization.
A solid understanding of the architecture of modern web applications and of the principles of software engineering.
An understanding of authentication, authorization, access control, and application security in a practical way.
Gain experience in integrating applications with APIs, external services, and various data sources.
The ability to understand, check, debug, restructure, and improve code that has been generated by AI.
Having a good understanding of testing, maintainability, logging, monitoring and the reliable delivery of software.
The ability to combine rapid experimentation and delivery with sustainable engineering practices.
A strong sense of ownership and the capacity to work on one’s own without the need for detailed technical specifications.
A strong product mindset, with a focus on solving business problems rather than just carrying out technical tasks.
A proactive attitude means having the ability to question current methods, propose improvements, and introduce new product and technical ideas.
A high level of curiosity together with a constant desire to experiment with new AI models, coding agents, tools, and workflows.
Having strong communication and collaboration skills when working directly with business or domain experts.
Experience gained through using JavaScript/TypeScript, Node.js, Python or other modern development technologies is relevant; yet the use of any particular technology stack is not a major factor in the selection process.
Will be a plus
Have experience in the development of market intelligence, business intelligence, analytics, or data-intensive products.
Have implemented enterprise authentication, single sign-on, and role-based access control (RBAC)
Knowledge of cloud platforms and contemporary methods of deploying applications.
Have experience in developing analytics or conversational interfaces that are powered by AI
Have experience in designing reusable agentic workflows or automation for software development
Try out a variety of AI models and coding agents and then choose the appropriate tools for each particular task
Examples of personal AI projects, prototypes, entries in hackathons, or internal products which show practical experimentation with AI-first development.
There is a keen interest in new AI engineering tools and methods.
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Location: Tel Aviv, HQ
Workplace: OnSite
ABOUT THE ROLE
You sit inside a product group and own its go-to-market from 0 to 1. You work with the field on the first customers, learn how to sell this product, and turn that into a playbook the whole org can use.
WHAT YOU'LL DO
- Build the playbook. Define how we sell your product: buyer personas, value proposition, use cases, demo story, positioning and messaging, and pilot structure. Work with the Head of Commercialization on pricing and packaging.
- Go 0 to 1 with the field. Join the first deals. Run discovery, shape the demo around the customer's business case, and test the playbook in real conversations. Scout for design partners for new capabilities.
- Design pilots that succeed. Set the scope, success criteria and business impact story for each POC. Spot risks early and run root cause analysis when a pilot gets stuck.
- Hand it over to scale. Make what works easy for other teams, inside Wonderful and at the customer, to run without you. You own the content, they own the rollout.
- Feed the product. Turn what you hear from customers into clear, prioritized input for PM and engineering.
- Expand into target regions. Identify the local subject matter capabilities required and recruit local talent.
WHAT YOU BRING
- 4+ years in a technical, customer-facing role at a product company: solutions engineering, pre-sales, technical product management, or technical BD.
- You're a builder. You can put together an agent, connect APIs and debug a demo in front of a customer.
- Commercial instinct. You can run a business requirements discussion, build a business case, and know why pilots and deals get stuck.
- You can talk to a CTO and to a business buyer in the same meeting.
- Excellent written and spoken English. You present daily.
- Based in Tel Aviv, happy to travel.
STRONG PLUS
- You've shipped LLM-based agents to production (prompting, tool use, evals).
- You've taken a product from its first customers to a repeatable motion.
- You've built playbooks that other teams use, for example deployment, onboarding or change management.
- Exposure to pricing or enterprise sales cycles.
WHAT SUCCESS LOOKS LIKE
- A proven playbook for your product: personas, value proposition, demo story and pilot structure, tested with real customers.
- Other teams run the playbook without you: the field, DS and FDEs, and customer teams.
- Demo-to-POC conversion and POC success rate in your group are up.
- A pricing and packaging proposal for your product is live.
- PM gets a steady, useful flow of customer input.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a strong Deep Learning Engineer to join our Autonomy team and develop the learning-based algorithms that power dynamic locomotion and whole-body control on our humanoid robots.
You will develop robust, reusable motion capabilities that enable the robot to move dynamically, maintain balance, interact with its environment, and combine locomotion with manipulation. This includes building the underlying learning-based motion primitives that can be composed into increasingly complex whole-body behaviors.
You will work closely with robotics, controls, simulation, and machine learning engineers to turn learned behaviors into reliable capabilities running as part of the robot's real-time control stack.
WHAT YOU'LL DO
- Design and train learning-based locomotion and whole-body control policies for dynamic robotic behaviors.
- Develop motion primitives using different learning based generative models.
- Apply reinforcement learning, imitation learning, and other learning-based approaches to motion generation and control.
- Build scalable simulation, data generation, and training pipelines using platforms such as Isaac Lab and MuJoCo.
- Develop methods for robustness, adaptation, and sim-to-real transfer, including domain randomization and learning from real-world robot data.
- Deploy, evaluate, debug, and fine-tune learned policies on physical humanoid robots.
- Optimize policy inference and training systems for the performance and latency requirements of real-time control.
- Integrate learned policies into the broader robot control and autonomy stack.
WHAT WE'RE LOOKING FOR
- BS, MS, or PhD in Robotics, Machine Learning, Computer Science, or a related technical field.
- 3+ years of experience developing machine learning systems in industry or research.
- Strong understanding of deep learning and modern policy architectures, including training, inference, experimentation, and debugging.
- Hands-on experience with RL and at least one additional area such as imitation learning, generative models, sequence models, or large-scale representation learning.
- Strong Python and PyTorch experience.
- Experience with physics-based simulation environments such as Isaac Lab, Isaac Sim, MuJoCo, or similar platforms.
- Ability to reason about learning algorithms in the context of dynamics, control, and physical systems.
Nice to have:
- Experience applying reinforcement learning or imitation learning to legged robots, humanoids, or other complex physical systems.
- Experience with whole-body control, locomotion, motion imitation, or loco-manipulation.
- Experience deploying learned policies on real robotic systems and debugging the sim-to-real gap.
- Familiarity with motion capture, trajectory optimization, model-based control, or learning from demonstrations.
- Experience training policies at scale across large numbers of simulated environments.
- Publications at NeurIPS, ICML, ICLR, CoRL, RSS, CVPR, or equivalent contributions to impactful open-source robotics or machine learning projects.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Montréal; 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
Toronto; 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
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.
УдалённоseniorCanada; San Francisco; United States; New York; Ottawa; Toronto; Montreal; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
УдалённоГеография найма не уточнена, офис: London
УдалённоheadLondon, United Kingdom
УдалённоGurgaon, India
УдалённоBrazil; Argentina
United Kingdom, London
seniorWarsaw, Poland
ГибридLimassol; Nicosia; Athens; Thessaloniki; Fully Remote - in other eligible locations; Attractive relocation package and support for a smooth relocation for you and your family
Автоотклики