Location: Chicago, Illinois
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
Fin is transforming customer service through AI, helping businesses deliver fast, accurate, and reliable support at scale. Trust is foundational to that mission.
Fin's Security Engineering team is unlike most security teams. We own and operate critical security services, build customer-facing security features, and partner with engineering teams to make secure development the default. We're engineers first; designing, building, and operating systems that protect Fin and its customers. The team owns and operates tier-zero services including authentication, SAML/SSO, teammate activity logs, malicious URL scanning, and other critical trust and security capabilities.
The mission of the team is to help Fin build and operate trusted AI-powered customer service experiences by making security a natural part of how products are designed, developed, and delivered. As Fin continues to expand its capabilities and adoption, you'll help shape how security evolves alongside some of the most ambitious AI-powered products in customer service. We're taking an AI-first approach to security, exploring areas such as AI-powered detection, red-team automation, continuous monitoring, and emerging defensive capabilities to help meet an evolving threat landscape.
What will I be doing?
Own and engineer tier-zero security capabilities that help customers securely deploy and manage Fin.
Design, build, and evolve customer-facing security features, including authentication, SAML/SSO, permissions systems, audit and activity logging, malicious URL scanning, and other enterprise security controls.
Partner with engineering teams throughout the software development lifecycle to build secure products and services.
Perform architecture reviews, threat modelling exercises, and security assessments for new features and systems.
Build security tooling, automation, and developer-facing building blocks that make secure development easier and more scalable.
Contribute to secure development standards, guidance, and best practices across Fin.
Lead application security initiatives across the software development lifecycle, helping teams identify and address security risks early.
Participate in a shared on-call rotation and lead security incident response, investigation, and remediation efforts.
Drive security initiatives from problem definition through design, implementation, and measurable outcomes.
Partner with teams building AI-powered products to assess and mitigate emerging security risks.
Help shape Fin's AI-first approach to security, including AI-powered detection, red-team automation, continuous monitoring, and emerging defensive capabilities.
Support the secure adoption of AI-assisted software development tools and engineering workflows.
What skills do I need?
Proven application security, product security, or security engineering experience within a SaaS environment.
Strong software engineering skills with experience designing, building, and operating production systems.
Deep understanding of modern application security threats, secure software development practices, and threat modelling.
Experience designing, building, or securing authentication, authorization, identity, or enterprise security capabilities.
Experience conducting architecture reviews and security assessments for complex systems.
Hands-on security incident response experience, including leading investigations and remediation efforts.
Strong programming skills and experience building tools, automation, or developer-focused solutions.
Comfortable using modern AI-assisted development tools to improve productivity and engineering effectiveness.
Ability to communicate security concepts clearly and collaborate effectively with engineering teams.
A pragmatic approach to balancing security, customer impact, and engineering velocity.
Bonus skills & attributes
Experience building or owning authentication, SAML/SSO, identity, or access management capabilities.
Experience securing AI-powered products or familiarity with security considerations for large language models, agentic systems, retrieval-based architectures, or AI tool integrations.
Experience building security automation or security-focused platform capabilities at scale.
Familiarity with cloud security, infrastructure security, or distributed systems.
Experience working across both large-scale SaaS environments and high-growth companies.
*Proof of eligibility to work in the United States is required.
The base salary range for candidates within the Greater Chicago Area is [$190,000 - $210,000]. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
#LI-Hybrid
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Location: Home-based, Mauritius
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
As a Level 2 Analyst, candidates will be at the heart of our financial ecosystem, ensuring the reliability and efficiency of our payment flows. Candidates will bridge the gap between technical engineering and operational excellence, using data, programming skills, and automation to optimize our core systems. We are looking for an individual with an Athlete Mindset who plans with rigor and constantly seeks more ambitious goals for our monitoring and reporting infrastructure.
KEY RESPONSIBILITIES
1. Operational Discipline & Daily Rigor
- Daily Health Checks: As part of Ops engineering team, we are responsible for investigating and remediating transactional failures. We have automated dashboards that run periodically and raise alerts in case of failures - candidates will be expected to master daily checks (investigations and remediation) as this is the core priority of the team.
- Incident Response: Candidates are expected to monitor real-time payment alerts, triage performance degradations, and drive issues to closure with a sense of urgency (Pace Matters).
- Documentation: We are constantly taking work away from Engineering teams - candidates are expected to maintain and update Standard Operating Procedures (SOPs) for daily tasks, ensuring No Room for Approximation in our execution.
2. Payment Flow Expertise & Scheme Reporting
- Lifecycle Management: Maintain a clear understanding of the end-to-end payment lifecycle, including authorization, clearing, and settlement across various payments methods - Card transactions, APMs, PTB etc.
- Scheme Reporting: Accurate preparation and submission of reporting for Card Schemes (e.g., Visa, Mastercard), ensuring all data aligns with scheme-specific requirements. Candidates will be expected to investigate how we can reduce manual toil by automating our reporting - aim is 100% accuracy within SLA.
- Data Validation: Use a data-driven approach to reconcile internal transaction records against scheme reports to identify and resolve discrepancies.
- Compliance Support: Assist in the monitoring of scheme-mandated KPIs and reporting deadlines to ensure the business remains in good standing.
3. Technical & Automation Excellence
- Data Analysis (SQL): Candidates are expected to write and optimize SQL queries to extract actionable insights from large datasets when required, keep our monitoring tools (Monte Carlo, Retool, BigQuery) up to date and assist peers with payment related queries.
- AI & Automation: Proactively identify repetitive manual tasks and use AI tools or scripting to automate them, supporting our goal to Run Lean. Candidates will be expected to provide tangible results e.g. Number of hours saved, on use of AI and Automation.
- Monitoring & Alerting Workflows: Work closely with Engineering to refine and update internal monitoring and alerting workflows, ensuring we maintain an Athlete Mindset toward system health.
- Engineering Collaboration: Act as a technical bridge, taking initiative to solve minor bugs or configuration issues, embodying the Be the Owner principle
- Continuous Improvement: Adopt a Better Every Day approach by researching new technical tools to enhance monitoring and reporting efficiency.
4. Soft Skills & Team Dynamics
- High-Pressure Performance: Candidates should thrive in a fast-paced environment, remaining resilient and focused during critical system incidents (Never Give Up).
- Collaboration: Act as a proactive One Team player, sharing knowledge with peers and communicating complex technical issues clearly to non-technical stakeholders.
- Accelerated Learning: Demonstrate a desire to learn fast and adapt to new payment technologies and evolving regulatory landscapes.
5. On-Call Duties & Availability
- In-Hours Support: Act as the primary technical point of contact for operational health during standard business hours.
- On-Call Roster: Participate in a rotating on-call roster, where you may be called upon to support the platform outside of normal working hours to ensure 24/7 reliability.
- Weekend & Shift Work: Be prepared to work outside of normal hours and during weekends as required by the business to maintain system uptime and address urgent issues.
- Resilience: Demonstrate a Never Give Up attitude, showing resilience and accountability when handling high-priority alerts during off-peak hours.
QUALIFICATIONS
- Education: Bachelor’s degree in Computer Science, Finance, Engineering, or a related field.
- Experience: 2+ years of experience in an operations support or payments-focused role.
- Hard Skills:
- Proficiency in SQL (data extraction and analysis).
- Experience with automation tools or basic scripting (Python/JS is a plus).
- Familiarity with AI tools for task optimization and productivity.
- Operating Values: You must embody our values by being Fundamentally Positive and acting as an Owner of your work area.
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: Saudi Arabia - Remote
Who is Tenable?
Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey!
What makes Tenable such a great place to work?
Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together!
Your Role:
Saudi organisations are moving fast on digital transformation, and scanning for vulnerabilities is now only the starting point. As Commercial Territory Manager, you will own Tenable's new business across the Kingdom's commercial market and help customers move to Continuous Exposure Management. You will sell the Tenable One platform across IT, cloud, identity and operational technology (OT), working with tier-one channel partners and a close-knit Saudi team. If you want a territory you can run like your own business, with a market-leading platform behind you, this is that role.
Your
Opportunity:
Your mandate is to build a strong new-business pipeline across Saudi Arabia and become the trusted risk advisor that customers call first.
Open up the Kingdom's commercial market:
Build and run a territory plan for commercial accounts across Saudi Arabia.
Arrange and hold three to four customer and prospect meetings a day, mostly face to face.
Use Tenable's AI tools to find high-intent accounts and spend less time on admin.
Move customers from scanning to exposure management:
Lead consultative conversations on Tenable One, showing how AI-driven insight cuts business risk.
Bring IT and OT security together for manufacturing and energy customers.
Link risk across identity, cloud and industrial systems in terms a CISO and a CFO both value.
Make the channel your multiplier:
Work with MSP and VAR partners to find opportunities and give every new customer value from Day 1.
Support your Saudi teammates with account insight and cover. The team wins together.
What You'll Need:
2+ years selling B2B SaaS in cybersecurity or cloud infrastructure, with a record of meeting targets.
Experience working with channel partners such as MSPs, VARs or distributors.
Solid pipeline management and forecasting.
Fluent English and Arabic.
Based in Riyadh, working hybrid, and happy to travel across the Kingdom to meet customers in person.
Enough technical curiosity to discuss identity, cloud security and Zero Trust with credibility.
Resilience under pressure and a team-first attitude. You listen closely and build trust before you pitch.
Why Tenable in 2026?
Growth without the Burnout: We look for people who want to win, but we value sustainable high performance. We provide the tools and the autonomy for you to run your territory like your own business.
Market Leader: We are recognized as the global leader for AI-Powered Exposure Assessment.
Innovation: Work with a portfolio that includes Tenable One, Tenable Cloud Security, and our industry-leading OT Security suite.
Impact: Help secure the critical infrastructure of some of the most innovative and digitally-dependent nations on earth.
Interview Process
Recruiter Interview – 1st Stage - Virtual
Hiring Manager Interview – 2nd Stage - Face to Face
Panel Interview - 3rd Stage - Face to Face
Exec Level Call - Final Stage - Virtual
#LI-JG1
#LI-Remote
We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels. If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact
Recruiting@Tenable.com
for further assistance.
Tenable Data Consent Statement
Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you:
General Applicant Privacy Notice
California Applicant Privacy Notice
EU/EEA/UK Applicant Privacy Notice
Location: Chittagong, Bangladesh
Workplace: remote
About the job
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.
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
We are seeking a highly driven Expansion Manager to expand Tether’s growth and presence in South Asia through adoption of its solutions, products and services. The Expansion Manager will play a pivotal role in identifying and executing new business opportunities, establishing strategic partnerships, and navigating regulatory landscapes. This role requires close collaboration with internal teams to develop and implement go-to-market strategies in South Asia and across the region.
This is an exciting opportunity for a passionate professional who believes in financial inclusion, digital currencies, and driving innovation in APAC’s financial ecosystem. Frequent local and international travel is required.
The ideal candidate is a strategic and entrepreneurial leader with a proven track record in business development, market expansion, and partnership management. You have:
A degree in Business, Management, or Finance (MBA preferred).
Strong analytical skills and experience in setting/monitoring KPIs.
A proactive, independent, and well-organized approach to work.
The ability to thrive autonomously in fast-paced, ambiguous environments.
A history of successfully building and managing strategic partnerships.
Responsibilities:
Business Development & Partnerships
Identify, engage, and secure new business opportunities in South Asia and in the Francophone region.
Build strong relationships with partners, customers, and stakeholders.
Build and manage commercial and strategic partnerships with Ivorian banks, fintechs and large corporates
Develop pipeline of USDt integration opportunities across the Francophone countries payment ecosystem
Market Strategy & Execution
Design and implement go-to-market strategies to expand Tether’s products and services.
Track and analyze KPIs to assess and optimize market strategies.
Market Research & Competitive Analysis
Conduct in-depth market research to identify trends, threats, and growth opportunities.
Analyze USDt and fiat flows for data-driven decision-making.
Monitor regulatory changes and assess their business impact.
Stakeholder & Government Engagement
Manage relationships with regulators, government agencies, and industry bodies.
Represent the company at key meetings and industry events.
Marketing & Community Engagement
Support and participate in fintech events, conferences, and meetups to enhance brand visibility.
Requirements:
Deep knowledge of the South Asia market, culture, and regulations in blockchain, fintech, finance, remittances, and payments.
Existing relationships at relevant regulators in South Asia
7-10 years work experience in cross-border settlements, mobile money, and/or payment infrastructures; telecom or banking experience is a plus.
Fluent in English, with a Business, Management, or Finance degree (MBA preferred).
Strong communication, negotiation, and relationship-building skills with partners, regulators, and stakeholders.
Proven experience in partnerships, KPI monitoring, and business growth.
Analytical, strategic, and results-driven with problem-solving skills.
Entrepreneurial background and project management expertise.
Comfortable in fast-paced, evolving environments with international travel readiness.
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: Ukraine
Workplace: Remote
Location: Based in Ukraine (Kyiv preferred, Lviv and other locations considered), regular travel to customer sites
Employment: Full-time
Engagement: B2B contract (Ukrainian FOP)
Compensation: Base salary + performance-based sales commission
About the Company
Our client is a US-based battery technology startup developing high-performance energy storage solutions for defense and dual-use applications.
Founded by industry leaders with executive experience at global electric vehicle and battery manufacturers, the company specializes in advanced silicon-anode battery technology designed to deliver high energy density and fast charging capabilities.
With manufacturing capabilities in South Korea, the company is expanding into the Ukrainian defense technology market, focusing on battery solutions for drones and other unmanned systems.
We are looking for a Business Development Manager to lead this market expansion, establish strategic customer relationships, and drive B2B sales growth in Ukraine.
About the Role
This is a hands-on, full-cycle business development position with significant ownership and direct access to the CEO.
You will be responsible for developing the company's commercial presence in Ukraine, building relationships with drone manufacturers, battery pack producers, and other defense technology companies.
The ideal candidate combines a strong network within Ukraine's defense industry with proven B2B sales experience, technical product understanding, and the ability to independently develop and close high-value commercial opportunities.
Key Responsibilities
- Develop and execute a business development strategy for the Ukrainian defense and dual-use markets.
- Identify, prospect, and engage drone manufacturers, battery pack producers, and other unmanned systems companies.
- Build and maintain relationships with key decision-makers, procurement teams, and technical stakeholders.
- Manage the full B2B sales cycle, from lead generation and initial outreach to negotiations, closing, and account development.
- Introduce advanced battery solutions to prospective customers and coordinate technical product evaluations.
- Manage existing commercial opportunities while building a new customer pipeline.
- Negotiate commercial terms and secure purchase orders.
- Collaborate directly with the CEO and international teams on commercial strategy, customer requirements, and market opportunities.
- Represent the company at customer meetings, industry events, and relevant defense technology networks.
- Develop long-term customer relationships and identify opportunities for repeat business and account expansion.
Requirements
- 3+ years in B2B sales/BD, with hands-on experience in Defense / MilTech.
- Proven track record of developing customer relationships, negotiating commercial agreements, and closing B2B deals.
- Established professional network within Ukraine's defense technology ecosystem.
- Understanding of the Ukrainian defense industry and its procurement ecosystem.
- Experience selling technical products, hardware, electronic components, or industrial solutions.
- Ability to independently manage the entire sales cycle, from prospecting to closing.
- Strong commercial negotiation, relationship-building, and communication skills.
- Fluent Ukrainian and strong English communication skills.
- Willingness and ability to travel across Ukraine for customer meetings.
- Self-driven, entrepreneurial mindset and ability to operate effectively in an early-stage business environment.
Nice to Have
- Experience selling batteries, battery cells, battery packs, or energy storage solutions.
- Existing relationships with Ukrainian drone or unmanned systems manufacturers.
- Experience in electronics, UAV components, power systems, or related hardware industries.
- Experience importing dangerous goods (e.g. lithium batteries) and customs clearance in Ukraine.
- Engineering or technical educational background.
- Experience launching new markets or establishing B2B sales operations from scratch.
- Active participation in Ukrainian defense technology associations, clusters, or industry networks.
What We Offer
- Opportunity to lead market expansion for a US-based deep-tech startup.
- Direct collaboration with the founder and CEO.
- High level of autonomy and ownership over business development in Ukraine.
- Innovative battery technology with applications in the growing defense and unmanned systems sector.
- Compensation combining a fixed base salary and performance-based sales commission.
- Opportunity to develop strategic partnerships and grow with the business as its Ukrainian operations expand.
- Based in Ukraine, with customer-facing travel across the country.
Please Note
The company does not currently provide military service reservation (бронювання).
Interested in building the next generation of energy solutions for unmanned systems? We'd love to hear from you.
Location: London, United Kingdom; London, United Kingdom - Deliveroo
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
At Wolt and Deliveroo, we bring the best of the neighbourhood to customers’ doors. Our
Pricing & Affordability team
shapes the customer-facing economics of ordering - from the fees customers pay to the discounts and promotions that make an order feel within reach. We make everyday ordering feel worth it and affordable, while building a business that can grow sustainably.
We are looking for a
Strategy & Operations Manager
to help shape this agenda across EMEA. You will own complex workstreams from first principles through to execution - shaping strategy, making decisions and delivering measurable customer and business impact.
What you’ll be doing
You will sit at the intersection of commercial strategy, Product and Data Science. Your work will shape how we set prices, create value for customers and build the capabilities that make affordability more intelligent over time.
Day-to-day, you’ll:
Own high-impact Pricing & Affordability workstreams end to end: define the problem, identify the opportunity, make a recommendation, drive implementation and measure the result.
Turn customer and commercial insight into practical strategy - deciding where we should invest, what to test and how to balance customer value, growth and sustainable economics.
Partner closely with Data Science to frame optimisation problems, interpret models and experiments, and turn learning into better decisions.
Work with Product and Engineering to define and prioritise the capabilities needed to scale successful ideas.
Use experiments, customer insight and commercial judgement to decide when to improve, scale or stop an initiative.
Build clear frameworks and narratives that help senior leaders make confident decisions in complex, fast-moving situations.
Our humble expectations
You have 3+ years of professional experience and a track record of owning complex work independently. We care more about your judgement and demonstrated impact than your exact background or tenure.
You are an exceptional problem-solver: you can bring structure to ambiguity, identify what matters and move from analysis to a practical answer.
You have strong commercial and analytical judgement, paired with a growth mindset. You can spot opportunities, make thoughtful trade-offs with incomplete information and move quickly when the evidence is there.
You are an operator at heart. You enjoy seeing your work through and turning an idea into measurable impact.
You communicate clearly and concisely, whether you are working through a problem with a partner or presenting a recommendation to senior leaders.
You are interested in how AI can improve the way you work - from structuring problems and accelerating analysis to improving the quality of decisions - and you apply sound judgement about what still needs to be checked.
Experience in consumer technology, high-growth environment, or alongside Product and Data Science, is welcome but not required.
What’s in it for you
This is an opportunity to work on some of the most consequential customer and commercial questions in our business: how to make Wolt and Deliveroo more compelling in customers’ everyday lives, while building durable growth.
You will build unusually broad experience across commercial strategy, experimentation, product development and data-led optimisation - with the ownership to see your decisions play out in the market. You will work on increasingly complex problems across Wolt and Deliveroo, gain exposure to senior decision-makers, and broaden your remit across the full Pricing & Affordability portfolio as you demonstrate impact.
Next steps
We review applications on a rolling basis. You will first speak with our Talent Acquisition team, then with the Hiring Manager. From there you will meet others on the team, and the process closes with a final assignment.
If you are excited by the opportunity to shape how millions of customers experience affordability every day, we would love to hear from you.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: Abu Dhabi, UAE; APAC - Remote; Dubai, UAE; Hong Kong SAR; Kuala Lumpur, Malaysia
About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
About the role
We are looking for an experienced technology recruitment leader to lead our existing team of recruiters globally.
This is a hands-on leadership role combining team management with active recruitment delivery. You will set priorities, develop the team and partner with technology leaders on their hiring needs, while personally managing a portfolio of technology vacancies.
The ideal candidate will have led technology recruitment teams within regulated financial services, preferably fintech, and will bring strong stakeholder management skills alongside a proven ability to deliver specialist technology hires.
Responsibilities
Lead, coach and develop a globally distributed team of technology recruiters.
Partner with technology leaders to understand hiring requirements and translate them into clear recruitment priorities.
Personally manage end-to-end recruitment for technology roles, from role briefing and sourcing through assessment, offer and close.
Balance team leadership with hands-on delivery, allocating workloads and adapting priorities as business needs change.
Build talent pipelines for specialist and difficult-to-fill technology positions.
Strengthen recruitment practices, including sourcing strategies, interview processes and candidate assessment.
Use recruitment data to monitor delivery, identify bottlenecks and improve hiring outcomes.
Ensure a consistent, professional candidate experience and recruitment practices aligned with applicable regulatory requirements and internal policies.
Requirements
10+ years experience in both agency & inhouse roles.
A proven track record of leading technology recruitment teams within regulated financial services organisations.
Strong hands-on experience recruiting technology professionals across a range of disciplines and seniority levels.
Demonstrated ability to combine people management with personal recruitment delivery.
Experience managing geographically distributed teams and working with stakeholders across regions.
Strong stakeholder management skills, with the confidence to advise and constructively challenge senior hiring managers.
A structured, data-informed approach to recruitment planning and delivery.
Fluent English, with strong written and verbal communication skills.
Preferred
Technology recruitment leadership experience within fintech or crypto.
Mandarin language proficiency.
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Location: Hyderabad, India
Workplace: hybrid
About Global University Systems (GUS)
Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement.
About the Role
The Agent Reconciliation Associate plays a vital role in ensuring the accuracy and integrity of financial transactions between the company and its agents. This position is responsible for reconciling agent statements, resolving discrepancies, and supporting timely settlements. The Associate acts as a bridge between internal teams and agents, maintaining clear records and upholding compliance with company policies and regulatory standards.
Key Responsibilities
Review and reconcile agent accounts on a daily, weekly, and monthly basis.
Identify and investigate discrepancies in agent statements or payments.
Coordinate with agents and internal teams to resolve reconciliation issues promptly.
Prepare and maintain detailed reconciliation reports and supporting documentation.
Assist in the settlement process, ensuring accuracy and timeliness of payments.
Support audits by providing necessary records and explanations.
Participate in process improvement initiatives to enhance reconciliation efficiency.
Comply with all internal controls, policies, and regulatory requirements.
Experience & Skills
Bachelor’s degree in commerce, Finance, Accounting, or a related field.
1–2 years of experience in reconciliation, accounting, or finance roles preferred.
Knowledge of regulatory guidelines applicable to financial transactions is an advantage.
Experience working with large datasets and financial records desirable
Strong numerical and analytical abilities.
Proficiency in Microsoft Excel and other reconciliation tools.
Familiarity with accounting and financial software (e.g., Tally, SAP, Oracle).
Excellent written and verbal communication skills.
Ability to organise and prioritise multiple tasks effectively.
Basic understanding of financial reconciliation processes and internal controls.
Global University Systems equal opportunity employer. We provide equal opportunities and are committed to the principle of equality regardless of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, record of offences, marital status, family status or disability.
The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager.
There is an expectation that all employees will maintain the values of the Group and will comply with the code of conduct as well as equality and diversity, health and safety and safeguarding policies.
Location: Москва
Мы развиваем GigaChat и ищем сильного руководителя направления RL Efficiency. Это роль для человека, который возьмёт на себя эффективность всего RL-контура: обучающий цикл, rollout, reward-сигналы, взаимодействие с инференсом и инфраструктура под онлайн-эксперименты.
Цель направления — сделать так, чтобы online RL / RLHF / RLVR обучение GigaChat было максимально быстрым, стабильным и дешёвым: сократить time-to-feedback по экспериментам, поднять утилизацию кластера и упростить запуск новых RL-рецептов на масштабе.
Обязанности
Развивать направление RL Efficiency целиком
• Определять, как должно развиваться направление эффективности RL: какие места критичны на данный момент, как измерять прогресс и что в первую очередь ограничивает скорость экспериментов.
• Вести направление целиком: от постановки гипотез и плана работ до внедрения результатов в регулярный цикл обучения.
• Принимать решения о приоритетах между ускорением rollout, оптимизацией обучающего цикла, инфраструктурой и системой оценки качества.
Ускорять цикл online RL
• Оптимизировать пайплайн online RL: генерация rollout'ов, сбор reward-сигналов, обновление весов модели, overlap этапов.
• Выстраивать эффективное взаимодействие между обучающим контуром и инференс-движком (vLLM / SGLang / собственные решения), добиваясь высокой утилизации и низкой задержки.
• Работать с весами и KV-cache: быстрое обновление весов между итерациями, снижение overhead синхронизаций, оптимизация памяти.
• Повышать стабильность больших RL-прогонов: контроль деградаций, автоматическое восстановление, диагностика сбоев.
Развивать инфраструктуру под RL-эксперименты
• Развивать фреймворк обучения, поддерживающий RLHF / RLVR / PPO / GRPO / DPO и их вариации на масштабе.
• Делать так, чтобы новые RL-рецепты можно было быстро и безопасно запускать на больших моделях без ручной поддержки для каждого эксперимента.
• Обеспечивать воспроизводимость RL-экспериментов: версионирование данных, конфигов, чекпоинтов, reward-моделей.
Писать ключевой код и оставаться сильным инженером
• Самостоятельно писать и дорабатывать критичные части RL-пайплайна.
• Профилировать обучение на всех уровнях стека и находить узкие места в rollout, обучении и коммуникациях.
• Оставаться сильным инженером и исследователем, а не только руководителем: при необходимости самому разбирать узкие места в коде, экспериментах и взаимодействии с hardware.
Руководить сильной технической командой
• Руководить командой инженеров по эффективности RL, задавать высокую планку по качеству решений и перфу.
• Помогать команде превращать исследовательские идеи в работающие решения, которые можно встроить в основной цикл RL-обучения.
• Удерживать баланс между глубиной оптимизаций, инженерной надёжностью и практическим результатом для модели.
Требования
• Отличное владение Python и PyTorch (DDP/FSDP, distributed training).
• Практический опыт с обучением LLM и понимание механики RL post-training: RLHF, RLVR, PPO / GRPO / DPO.
• Опыт оптимизации обучения и инференса LLM: профилирование, узкие места, параллелизм, mixed precision.
• Понимание архитектуры LLM: Transformer, attention (MHA/GQA/MLA), MoE и их влияние на rollout.
• Способность самостоятельно взять направление и довести его до результата: от постановки задач до внедрения в продакшн-RL.
• Опыт руководства сильной технической командой и готовность лично писать важные части системы руками.
Будет плюсом
• Опыт работы с современными RL-стэками: verl, TRL или собственные решения.
• Опыт работы с large-scale inference (vLLM, SGLang, TRT-LLM) и оптимизацией генерации.
• Опыт написания CUDA / Triton ядер и понимание особенностей NVIDIA GPU.
• Понимание коммуникационного стека больших обучений: NCCL, NVSHMEM, RDMA/IB.
• Опыт работы с кластерными системами: Slurm, Kubernetes, Ray или собственные оркестраторы.
• Публикации, open-source вклад или сильный прикладной research track record.
Условия
• Сильные и сложные задачи на переднем крае развития русскоязычных LLM.
• Большую степень влияния на архитектуру решений, методы обучения и качество итоговой модели.
• Команду сильных инженеров и исследователей.
• Возможность совмещать управление направлением с глубокой технической работой.
• Конкурентную компенсацию, премии и расширенный соцпакет.
Location: Москва
Мы развиваем GigaChat и ищем сильного руководителя направления ML pretrain больших языковых моделей. Недавно мы обучили MoE-модель на 700 миллиардов параметров и не собираемся останавливаться — обучение идёт на кластерах H100 и B200, а pretrain является ядром самого быстрорастущего AI-проекта Сбера.
Это роль для человека, который возьмёт на себя архитектурную часть pretrain: design моделей, законы масштабирования, выбор и адаптация attention / MoE / позиционных схем, а также все архитектурные решения, которые определяют, какой именно будет следующая флагманская модель GigaChat.Нам нужен не просто менеджер, а сильный технический руководитель, который способен глубоко погружаться в детали, самостоятельно собирать ключевые части решения и доводить архитектурные идеи до реального роста качества модели на масштабе.
Обязанности
* Развивать архитектуру моделей GigaChat
* Определять, как должна развиваться архитектура pretrain-моделей: какие направления наиболее важны, как измерять прогресс и что в первую очередь ограничивает рост качества модели.
* Проектировать архитектуру флагманских моделей и отвечать за ключевые архитектурные решения: attention, позиционные схемы (RoPE и варианты), нормализации, активации, инициализация.
* Развивать MoE-архитектуру: маршрутизация, балансировка экспертов, устойчивость маршрутизатора, влияние на качество и производительность.
* Работать с long-context и мультимодальностью на уровне архитектуры: что именно нужно менять в модели, чтобы эти возможности работали стабильно.
* Изучать и применять законы масштабирования
* Проводить scaling-эксперименты и на их основе принимать решения по размеру модели, ширине / глубине, числу и размеру экспертов, размерам батча и длительности обучения.
* Предсказывать, как архитектурные изменения поведут себя при переходе с небольших абляций на полный масштаб.
* Определять и развивать метрики, которые корректно отражают архитектурные изменения в обучении моделей.
* Определять, в каких случаях архитектурные изменения действительно дают прирост качества по сравнению с более простыми baseline'ами, а в каких — нет.
* Анализировать стабильность архитектурных решений
* Разбираться с нестабильностью на больших прогонах со стороны архитектуры: почему конкретная конфигурация расходится, где проявляются артефакты маршрутизации, коллапс энтропии, неустойчивости в attention.
* Предлагать изменения в нормализациях, клиппинге, точности вычислений и структуре блоков, которые делают обучение более предсказуемым.
* Обеспечивать безопасное масштабирование при внедрении крупных архитектурных изменений в основной трейн.
* Писать ключевой код и оставаться сильным исследователем
* Самостоятельно писать и дорабатывать архитектурные компоненты и абляции.
* Делать надёжные и воспроизводимые эксперименты: понятные версии данных, конфиги, сравнение запусков, контроль деградаций.
* Читать статьи, воспроизводить ключевые результаты и адаптировать лучшие идеи под наши задачи и инфраструктуру.
* Оставаться сильным инженером и исследователем, а не только руководителем: при необходимости самому разбирать узкие места в коде, экспериментах и настройках обучения.
* Руководить сильной технической командой
* Руководить командой исследователей и инженеров, работающих над архитектурой, задавать высокую планку по качеству решений, скорости работы и глубине проработки.
* Помогать команде превращать архитектурные идеи в работающие решения, которые можно встроить в основной цикл обучения.
* Удерживать баланс между глубиной исследований, инженерной надёжностью и практическим результатом для модели.
Требования
* Отличное владение Python и PyTorch.
* Глубокое понимание устройства обучения нейросетей: не на уровне обзоров, а на уровне, где вы можете объяснить, почему конкретная архитектурная конфигурация расходится, глядя на кривые функции потерь, нормы градиентов и энтропии.
* Глубокое понимание архитектуры LLM: Transformer, attention (MHA/GQA/MLA), RoPE и варианты позиционных эмбеддингов, нормализации, инициализации, long-context, MoE.
* Практический опыт с обучением больших моделей (а не только инференсом) и проведением архитектурных абляций.
* Способность самостоятельно взять направление и довести его до результата: от чтения статей и постановки гипотез до внедрения в основной трейн.
* Умение ставить гипотезы, проектировать эксперименты и принимать решения на основе результатов.
* Опыт руководства сильной технической командой и готовность лично писать важные части системы руками.
Будет плюсом
* Опыт работы с MoE-архитектурами: маршрутизатор, балансировка нагрузки, переполнение, артефакты маршрутизации.
* Опыт проведения scaling-экспериментов и работы с законами масштабирования.
* Опыт работы с long-context и мультимодальными расширениями LLM.
* Опыт работы с distributed training (5D-параллелизм: DP/TP/PP/EP/SP) и large-scale инференсом.
* Публикации, open-source вклад или сильный прикладной research track record.
* Понимание современных open-source стеков для обучения больших языковых моделей.
Условия
* Сильные и сложные задачи на переднем крае развития русскоязычных LLM.
* Большую степень влияния на архитектуру решений, методы обучения и качество итоговой модели.
* Команду сильных инженеров и исследователей.
* Возможность совмещать управление направлением с глубокой технической работой.
* Конкурентную компенсацию, премии и расширенный соцпакет.
Location: Москва
Мы развиваем GigaChat и ищем сильного руководителя направления online RL в домене STEM (математика, естественные науки, инженерные и технические дисциплины). Это роль для человека, который умеет одновременно развивать методы обучения моделей, глубоко разбираться в предметной области и выстраивать процессы сбора и подготовки данных.
Нам нужен не просто менеджер, а сильный технический руководитель, который способен глубоко погружаться в детали, самостоятельно собирать ключевые части решения и доводить идеи до реального роста качества модели.
Обязанности
* Развивать направление online RL для STEM-задач
* Определять, как должно развиваться направление online RL в STEM-домене: какие задачи для нас наиболее важны, как измерять прогресс и что в первую очередь ограничивает рост качества модели.
* Вести направление целиком: от постановки гипотез и плана работ до внедрения результатов в регулярный цикл обучения модели.
* Принимать решения о приоритетах между развитием методов, сбором данных, инфраструктурой и системой оценки качества.
* Разрабатывать и улучшать методы обучения
* Развивать подходы post-training и online RL для задач по математике, физике, химии, биологии и другим STEM-дисциплинам.
* Продумывать и внедрять способы оценки качества, которые помогают модели лучше решать реальные задачи: строить цепочки рассуждений, находить верные ответы, корректно применять формулы и методы, работать с многошаговыми задачами.
* Определять, в каких случаях online RL действительно даёт прирост качества по сравнению с supervised fine-tuning и другими подходами, а в каких — нет.
* Проводить эксперименты и разбирать результаты не только на уровне метрик, но и на уровне причин: почему модель стала лучше или хуже, насколько устойчив результат и можно ли его перенести на другие типы задач.
* Писать ключевой код и развивать инфраструктуру
* Самостоятельно писать и дорабатывать критичные части пайплайнов online RL.
* Делать надёжные и воспроизводимые эксперименты: с понятными версиями данных, конфигами, сравнением запусков и контролем деградаций.
* Выстраивать связку между моделью, верификаторами, reward-сигналами и обучающими пайплайнами так, чтобы новые идеи можно было быстро проверять и быстро доводить до практического результата.
* Оставаться сильным инженером и исследователем, а не только руководителем: при необходимости самому разбирать узкие места в коде, экспериментах и качестве данных.
* Строить контур данных для обучения
* Организовывать сбор и подготовку данных для online RL в STEM-домене: задачи разной сложности, эталонные решения, формальные и автоматические верификаторы, синтетические и реальные сценарии.
* Формировать качественные обучающие выборки с хорошим покрытием по дисциплинам, уровням сложности (от школьных до олимпиадных и университетских задач), типам рассуждений и типовым ошибкам модели.
* Встраивать в пайплайны проверки качества: символьную и численную верификацию ответов, проверку промежуточных шагов рассуждений, контроль утечек, удаление дублей, балансировку по сложности и предметным областям.
* Делать так, чтобы каждый цикл обучения улучшал не только модель, но и сам процесс: появлялись новые данные, новые сложные примеры, более точные критерии качества и лучшее понимание слабых мест модели.
* Руководить сильной технической командой
* Руководить командой исследователей и инженеров, задавать высокую планку по качеству решений, скорости работы и глубине проработки.
* Помогать команде превращать исследовательские идеи в работающие решения, которые можно встроить в основной цикл обучения.
* Удерживать баланс между глубиной исследований, инженерной надёжностью и практическим результатом для модели.
Требования
* Отличное владение Python и PyTorch.
* Практический опыт в LLM post-training: RLHF, online RL или смежных направлениях.
* Понимание специфики STEM-домена: формальная верификация ответов, chain-of-thought reasoning, работа с математической нотацией, многошаговые решения, типовые ошибки моделей в рассуждениях.
* Умение ставить гипотезы, проектировать эксперименты и принимать решения на основе результатов.
* Опыт руководства сильной технической командой.
* Готовность лично писать важные части системы руками.
Будет плюсом
* Сильный математический или естественнонаучный бэкграунд (профильное образование, олимпиадный опыт, публикации).
* Опыт построения верификаторов и reward-моделей для задач STEM.
* Опыт построения пайплайнов данных, а не только работы с уже готовыми датасетами.
* Опыт работы с distributed training или large-scale inference.
* Опыт разработки систем оценки качества для LLM (бенчмарки, LLM-as-a-judge, process reward models).
* Опыт работы с synthetic data generation, curriculum learning, active data collection.
* Понимание современных open-source стеков для обучения и инференса больших языковых моделей.
* Публикации, open-source вклад или сильный прикладной research track record.
Условия
* Сильные и сложные задачи на переднем крае развития русскоязычных LLM.
* Большую степень влияния на архитектуру решений, методы обучения и качество итоговой модели.
* Команду сильных инженеров и исследователей.
* Возможность совмещать управление направлением с глубокой технической работой.
* Конкурентную компенсацию, премии и расширенный соцпакет.
Location: Москва
Мы развиваем GigaChat и ищем сильного руководителя направления ML pretrain больших языковых моделей. Недавно мы обучили MoE-модель на 700 миллиардов параметров и не собираемся останавливаться — обучение идёт на кластерах H100 и B200, а pretrain является ядром самого быстрорастущего AI-проекта Сбера.
Это роль для человека, который возьмёт на себя архитектурную часть pretrain: design моделей, законы масштабирования, выбор и адаптация attention / MoE / позиционных схем, а также все архитектурные решения, которые определяют, какой именно будет следующая флагманская модель GigaChat. Нам нужен не просто менеджер, а сильный технический руководитель, который способен глубоко погружаться в детали, самостоятельно собирать ключевые части решения и доводить архитектурные идеи до реального роста качества модели на масштабе.
Обязанности
* Развивать архитектуру моделей GigaChat
* Определять, как должна развиваться архитектура pretrain-моделей: какие направления наиболее важны, как измерять прогресс и что в первую очередь ограничивает рост качества модели.
* Проектировать архитектуру флагманских моделей и отвечать за ключевые архитектурные решения: attention, позиционные схемы (RoPE и варианты), нормализации, активации, инициализация.
* Развивать MoE-архитектуру: маршрутизация, балансировка экспертов, устойчивость маршрутизатора, влияние на качество и производительность.
* Работать с long-context и мультимодальностью на уровне архитектуры: что именно нужно менять в модели, чтобы эти возможности работали стабильно.
* Изучать и применять законы масштабирования
* Проводить scaling-эксперименты и на их основе принимать решения по размеру модели, ширине / глубине, числу и размеру экспертов, размерам батча и длительности обучения.
* Предсказывать, как архитектурные изменения поведут себя при переходе с небольших абляций на полный масштаб.
* Определять и развивать метрики, которые корректно отражают архитектурные изменения в обучении моделей.
* Определять, в каких случаях архитектурные изменения действительно дают прирост качества по сравнению с более простыми baseline'ами, а в каких — нет.
* Анализировать стабильность архитектурных решений
* Разбираться с нестабильностью на больших прогонах со стороны архитектуры: почему конкретная конфигурация расходится, где проявляются артефакты маршрутизации, коллапс энтропии, неустойчивости в attention.
* Предлагать изменения в нормализациях, клиппинге, точности вычислений и структуре блоков, которые делают обучение более предсказуемым.
* Обеспечивать безопасное масштабирование при внедрении крупных архитектурных изменений в основной трейн.
* Писать ключевой код и оставаться сильным исследователем
* Самостоятельно писать и дорабатывать архитектурные компоненты и абляции.
* Делать надёжные и воспроизводимые эксперименты: понятные версии данных, конфиги, сравнение запусков, контроль деградаций.
* Читать статьи, воспроизводить ключевые результаты и адаптировать лучшие идеи под наши задачи и инфраструктуру.
* Оставаться сильным инженером и исследователем, а не только руководителем: при необходимости самому разбирать узкие места в коде, экспериментах и настройках обучения.
* Руководить сильной технической командой
* Руководить командой исследователей и инженеров, работающих над архитектурой, задавать высокую планку по качеству решений, скорости работы и глубине проработки.
* Помогать команде превращать архитектурные идеи в работающие решения, которые можно встроить в основной цикл обучения.
* Удерживать баланс между глубиной исследований, инженерной надёжностью и практическим результатом для модели.
Требования
* Отличное владение Python и PyTorch.
* Глубокое понимание устройства обучения нейросетей: не на уровне обзоров, а на уровне, где вы можете объяснить, почему конкретная архитектурная конфигурация расходится, глядя на кривые функции потерь, нормы градиентов и энтропии.
* Глубокое понимание архитектуры LLM: Transformer, attention (MHA/GQA/MLA), RoPE и варианты позиционных эмбеддингов, нормализации, инициализации, long-context, MoE.
* Практический опыт с обучением больших моделей (а не только инференсом) и проведением архитектурных абляций.
* Способность самостоятельно взять направление и довести его до результата: от чтения статей и постановки гипотез до внедрения в основной трейн.
* Умение ставить гипотезы, проектировать эксперименты и принимать решения на основе результатов.
* Опыт руководства сильной технической командой и готовность лично писать важные части системы руками.
Будет плюсом
* Опыт работы с MoE-архитектурами: маршрутизатор, балансировка нагрузки, переполнение, артефакты маршрутизации.
* Опыт проведения scaling-экспериментов и работы с законами масштабирования.
* Опыт работы с long-context и мультимодальными расширениями LLM.
* Опыт работы с distributed training (5D-параллелизм: DP/TP/PP/EP/SP) и large-scale инференсом.
* Публикации, open-source вклад или сильный прикладной research track record.
* Понимание современных open-source стеков для обучения больших языковых моделей.
Условия
* Сильные и сложные задачи на переднем крае развития русскоязычных LLM.
* Большую степень влияния на архитектуру решений, методы обучения и качество итоговой модели.
* Команду сильных инженеров и исследователей.
* Возможность совмещать управление направлением с глубокой технической работой.
* Конкурентную компенсацию, премии и расширенный соцпакет.
Location: Москва
Мы развиваем GigaChat и ищем сильного ML-инженера в команду online RL. Это роль для человека, который умеет доводить исследовательские идеи до работающих решений: проектировать и запускать эксперименты, строить надёжные пайплайны обучения и добиваться реального роста качества модели.
Нам нужен не просто исполнитель задач, а инженер с сильным исследовательским мышлением, который способен самостоятельно разбираться в сложных проблемах, предлагать новые идеи и решения и нести ответственность за результат.
Обязанности
* Разрабатывать и улучшать методы online RL
* Реализовывать и дорабатывать подходы post-training и online RL.
* Проектировать и проводить эксперименты: формулировать гипотезы, подбирать конфигурации, анализировать результаты не только на уровне метрик, но и на уровне причин.
* Разбираться, почему модель стала лучше или хуже, насколько устойчив результат и можно ли его масштабировать на другие домены и типы задач.
* Следить за state-of-the-art: читать статьи, воспроизводить результаты, адаптировать лучшие подходы под наши задачи и инфраструктуру.
* Строить и развивать инфраструктуру обучения
* Разрабатывать и поддерживать пайплайны online RL: от генерации rollout'ов и сбора reward-сигналов до обновления весов модели.
* Обеспечивать воспроизводимость экспериментов: версионирование данных, конфигов, чекпоинтов, контроль деградаций.
* Оптимизировать throughput и эффективность использования GPU: distributed training, параллелизм, профилирование узких мест.
* Выстраивать связку между моделью, средами исполнения, верификаторами и reward-моделями так, чтобы новые идеи можно было быстро проверять.
* Работать с данными и системой оценки качества
* Участвовать в проектировании и реализации reward-сигналов: rule-based верификаторы, reward-модели, LLM-as-a-judge, execution-based проверки.
* Строить и улучшать пайплайны подготовки данных: фильтрация, дедупликация, балансировка, контроль утечек.
* Анализировать ошибки модели, выявлять систематические слабые места и формировать целевые обучающие выборки для их устранения.
* Работать в сильной команде
* Тесно взаимодействовать с исследователями, другими инженерами, командами данных и инфраструктуры.
* Брать на себя ответственность за целые куски системы: от идеи до результата в проде.
* Делиться знаниями, участвовать в код-ревью, помогать поднимать общую планку качества.
Требования
* Отличное владение Python и PyTorch.
* Практический опыт в LLM post-training: RLHF, online RL, DPO или смежных направлениях.
* Опыт проведения ML-экспериментов от начала до конца: постановка гипотезы → реализация → анализ → выводы.
* Понимание distributed training: Data Parallel, FSDP, DeepSpeed или аналоги.
* Умение писать чистый, надёжный, production-ready код.
* Способность разбираться в сложных системах и самостоятельно находить и устранять узкие места.
Будет плюсом
* Опыт работы с reward-моделями, process reward models, LLM-as-a-judge.
* Опыт построения сред исполнения, sandboxes и верификаторов для code- или STEM-задач.
* Опыт работы с large-scale inference и оптимизацией генерации (vLLM, Sglang и т.д.).
* Понимание современных open-source стеков для обучения LLM (Verl, Megatron, TRL и др.).
* Публикации, open-source вклад или сильный прикладной track record.
Условия
* Сильные и сложные задачи на переднем крае развития русскоязычных LLM.
* Прямое влияние на качество модели: результаты твоей работы видны в бенчмарках и в продукте.
* Команду сильных инженеров и исследователей, у которых есть чему поучиться.
* Возможность совмещать инженерную и исследовательскую работу.
* Конкурентную компенсацию, премии и расширенный соцпакет.
Location: Hyderabad, India
Workplace: hybrid
About Global University Systems (GUS)
Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter future for all. Our network of 30 institutions offers the broadest range of industry-relevant skills through inclusive, accessible, and digital-first learning. We currently educate around 122,000 students on campuses worldwide and have 20M+ unique subscribers to our courses. Our global ecosystem powers accessible digital learning and academic achievement.
About the Role
The Agent Reconciliation Associate plays a vital role in ensuring the accuracy and integrity of financial transactions between the company and its agents. This position is responsible for reconciling agent statements, resolving discrepancies, and supporting timely settlements. The Associate acts as a bridge between internal teams and agents, maintaining clear records and upholding compliance with company policies and regulatory standards.
Key Responsibilities
Review and reconcile agent accounts on a daily, weekly, and monthly basis.
Identify and investigate discrepancies in agent statements or payments.
Coordinate with agents and internal teams to resolve reconciliation issues promptly.
Prepare and maintain detailed reconciliation reports and supporting documentation.
Assist in the settlement process, ensuring accuracy and timeliness of payments.
Support audits by providing necessary records and explanations.
Participate in process improvement initiatives to enhance reconciliation efficiency.
Comply with all internal controls, policies, and regulatory requirements.
Experience & Skills
Bachelor’s degree in commerce, Finance, Accounting, or a related field.
1–2 years of experience in reconciliation, accounting, or finance roles preferred.
Knowledge of regulatory guidelines applicable to financial transactions is an advantage.
Experience working with large datasets and financial records desirable
Strong numerical and analytical abilities.
Proficiency in Microsoft Excel and other reconciliation tools.
Familiarity with accounting and financial software (e.g., Tally, SAP, Oracle).
Excellent written and verbal communication skills.
Ability to organise and prioritise multiple tasks effectively.
Basic understanding of financial reconciliation processes and internal controls.
Global University Systems equal opportunity employer. We provide equal opportunities and are committed to the principle of equality regardless of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, record of offences, marital status, family status or disability.
The post holder may be asked to undertake different or additional duties in line with business requirements at the request of their line manager.
There is an expectation that all employees will maintain the values of the Group and will comply with the code of conduct as well as equality and diversity, health and safety and safeguarding policies.
The company is seeking a Business Development Manager to strengthen its partner network and commercial presence in the Russian-speaking market. — Identify and acquire new IBs, affiliates, and strategic partners within the assigned market.
Location: Singapore
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.
Most merchants don’t find Checkout.com http://Checkout.com through an ad. They find us because someone they already trust told them to look at us, whether that’s their ecommerce agency, their billing platform, their fraud provider, their consultant. We view partnerships as a core growth engine for Checkout.com http://Checkout.com, and this role exists to turn that trusted relationship into a repeatable, scalable revenue channel through disciplined execution, strong commercial instinct, and relentless ownership.
We’re looking for a high-ownership self-starter who can originate, structure, and close partnerships that drive measurable revenue impact. Our ideal candidate is an operator with strong drive and bias for action — they move fast, take on meaningful challenges, and are recognized for the impact they deliver.
You’ll own a portfolio of partners and the merchants they bring us. This is a builder role: you won’t inherit a book that carries you to your number — you’ll go and find it. At Checkout.com http://Checkout.com, ambition and quality work get met with opportunity, and growth is in your hands.
What You’ll Be Doing
- Source new partners from a blank list — agencies, systems integrators, ISVs, fintechs and consultancies. Cold outreach, events, referrals, whatever gets you in the room.
- Win the commercial case: get partners to recommend Checkout to their clients ahead of the incumbent, built on the outcomes their clients care about — acceptance rates, market coverage, revenue.
- Win the technical commitment: make the case for a partner investing engineering time in building with Checkout, then coordinate Partner Engineering to deliver it and keep the integration current as our product evolves.
- Activate signed partners into producing partners — map their client base, train the solution architects and account directors who influence recommendations, and keep opportunities registered early.
- Structure and close referral, reseller and embedded models, negotiating across commercial, legal and operational dimensions.
- Own your number: net revenue, total processed volume, product penetration and conversion. You’re recognized on partnerships converting into live merchants and revenue — not on signed logos or pipeline.
- Act as the single owner across Sales, Legal, Product, Partner Engineering and Marketing, removing blockers and driving launches to go-live.
What We Look For
Experience
- 3+ years of experience in partnerships, business development, or strategic sales.
- Payments or fintech experience, processor or merchant side — gateway, acquirer, PSP, orchestration, fraud and risk, or a software platform where you sold payments to existing customers.
- Track record of closing Enterprise or complex, multi-stakeholder deals is a plus
- Experience structuring commercial models (rev share, reseller, embedded partnerships)
Skillset
- Strong commercial acumen - understands what drives revenue and margin
- Solid negotiation skills - can hold ground while progressing deals
- Ability to operate in cross-functional, high-ambiguity environments
- High attention to detail - no room for approximation
- Resilience for genuine cold outreach. Most of your first six months is finding partners who have never heard from us
Mindset
- Owner mentality - accountability without excuses
- Performance-driven - focused on outcomes, not activity
- Low ego, high standards - direct, constructive, and solution-oriented
- Comfortable being challenged - and challenging back when needed
Nice to Haves
- Experience working inside or alongside an agency, systems integrator or ISV — you’ll already know how partners decide which vendor to put in front of a client.
- Exposure to embedded payments, payfac or marketplace models.
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: Argentina
Workplace: Remote
OUR VISION & PRODUCTS
🚀 EverAI — Building the Future of AI Companionship
One of the Top 15 Largest & Fastest-Growing AI Companies in the World
50 Million Users in 2 years — Help Us Reach 100M first, 500M next
At EverAI, we’re shaping what it means to connect with AI. With 50 million users and counting, we're not just building products — we're creating entirely new categories.
Our flagship product is the world’s largest AI companionship platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first.
And we’re only just getting started!
OUR TEAM
We are an enthusiastic, passionate and hardworking team of ≈ 100 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO.
Alexis Soulopoulos [CEO]
• 10+ years in Tech Executive Leadership
• Co-Founder Mad Paws Holdings (from 0 to IPO)
• Forbes 30 under 30 + Deloitte TechFast50 ’22 & ‘23
Michael Monin [Co-founder & CTO]
• 10+ years as CTO / COO (web2/web3), 3 years in AI/LLM
• Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands)
Thomas Lacroix [Co-founder & CMO]
• 8+ years in Customer Acquisition & E-commerce Growth
• Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue)
Maruša Fasano [CFO/Legal]
• 25+ years in Finance, Strategy, M&A
• Ex-CFO/M&A @Curatible (exited to Blackstone)
• Ex-President of the Board @SotremoSA (exited)
• Co-founder/CFO @SoftOne (exited)
YOUR ROLE
We are looking for a Mid/Senior AI Cinematic Video Editor who is deeply embedded in generative video workflows and can independently craft high-quality, narrative-driven content from concept to final output.
You are a sharp-eyed video editor comfortable operating at the intersection of creativity and emerging technology, building visually compelling long-form videos using AI-first pipelines. You take ownership of the entire production stack — from prompting and generation to editing, compositing, graphic design work and final delivery. You thrive in a high-performance environment where your quick wits and passion for story-telling shine.
Reporting to your Content Lead, this is what you'll be doing:
KEY RESPONSIBILITIES
- Conceptualise scripts based on current production needs and centred around existing AI characters (our own IPs)
- Create narrative-driven, longform video content, including stylized and explicit NSFW visuals, with a strong focus on storytelling, atmosphere, and visual coherence throughout
- Own and manage end-to-end AI video production workflows, from ideation and prompting to generation, editing, and post-production
- Utilise tools such as Kling, Seedance, Happy Horse and other AI video models/platforms to produce high-quality visual sequences
- Develop and maintain consistent character appearance, style, and scene continuity across longer narratives using advanced techniques
- Integrate motion graphic design and colour correction to deliver cohesive final outputs
- Experiment rapidly with new AI models, tools, and techniques, incorporating them into production workflows and sharing skills with the rest of the team
- Align with your Content Lead’s creative direction while maintaining a high degree of autonomy in execution and technical decision-making
- Continuously refine workflows for efficiency, scalability, and output quality
YOUR QUALIFICATIONS
HARD SKILLS
- 4–6+ years of experience in video production, VFX, or digital art, with a strong portfolio (AI-driven video work is a must)
- Hands-on experience with the latest AI video tools and models (e.g., Kling, Seedance, Happy Horse, and similar emerging options)
- Solid understanding of AI image/video generation pipelines, including prompting, batching, consistency techniques, and post-processing
- Experience with traditional tools like Premiere Pro, After Effects or similar for final assembly and polish
- Strong grasp of visual storytelling, pacing, composition, and cinematic language
- Ability to maintain character and scene consistency across sequences in AI-generated content
SOFT SKILLS
🗣 Strong communication & collaboration skills (fluent in English)
🎯 High ownership — able to take ideas from concept to completion independently
⚡️ Experimental mindset — comfortable navigating ambiguity and evolving tools
⏱️ Fast iteration cycles — able to test, fail, refine, and improve quickly
🧠 Curious and self-driven — constantly exploring new AI capabilities and workflows
🧢 Open to feedback and continuous improvement
🍭 #NSFW — Comfortable working with uncensored models and explicit adult content
BONUS POINTS
- Experience in AI-native storytelling or filmmaking
- Background in 3D, VFX, technical art or as a colourist
- Familiarity with training/customizing models (LoRAs, embeddings, fine-tuning)
- Prior experience in adult, dating, or adjacent creative industries a huge bonus
- Experience with ComfyUI
- Experience with Stable Diffusion / AUTOMATIC1111 and related tooling (Advanced prompting, working with trained LoRAs, refining, upscaling, inpainting etc.)
WHY EVERAI?
📈 Exponential Growth: From 50M users in 2 years, to 100M next — and 500M beyond
🚀 Track Record of Category-Creating Innovation: We consistently launch world-first AI applications — setting the pace, not following it
🌍 Global Impact: Top-tier user growth, real-world adoption, and cultural relevance
🧠 Proven Leadership: A senior team that’s launched, scaled, and exited & IPO’d multiple scale ups — now fully focused on reshaping AI companionship
👥 Elite Remote Team: 100% remote and built to win — world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity
🛡️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scale
WHAT WE OFFER
✍️ Contract Type: We prefer B2B, but we’re flexible, what matters is long-term commitment and impact
📍 Work From Anywhere: Fully remote. Choose the environment where you do your best work
🏝️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset
👨👩👧👦 Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together
❤️🩹 Health & Wellness Support: Monthly allowance of 100 USD for health insurance expenses & access to unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available to up to three of your family members)
🏢 Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected
📚 Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications
💻 Company Laptop & Equipment: Laptop provided + monitor budget up to 250 USD + keyboard/mouse/mic/headphones budget up to 150 USD
⚡ AI Tools Access: Premium access to ChatGPT, Hugging Face, Claude Code, and any other tool needed to excel at your job, power your ideas and workflows
🎯 TOP TIER TALENT IS OUR MULTIPLIER
We’re a fully remote group of A-players from Tier 1 tech, led by an exec team who’ve launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build — and who we build it with.
We’re looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business.
If that’s you — reach out and apply!
Location: Portugal
Workplace: Remote
OUR VISION & PRODUCTS
🚀 EverAI — Building the Future of AI Companionship
One of the Top 15 Largest & Fastest-Growing AI Companies in the World
50 Million Users in 2 years — Help Us Reach 100M first, 500M next
At EverAI, we’re shaping what it means to connect with AI. With 50 million users and counting, we're not just building products — we're creating entirely new categories.
Our flagship product is the world’s largest AI companionship platform, redefining relationships for millions. It is governed by our proprietary moderation system, EverGuard — an internal AI designed to ensure everything we build is safe, ethical, and human-first.
And we’re only just getting started!
OUR TEAM
We are an enthusiastic, passionate and hardworking team of ≈ 100 people. Our founding team has strong entrepreneurial experience building and scaling web products from 0 to IPO.
Alexis Soulopoulos [CEO]
• 10+ years in Tech Executive Leadership
• Co-Founder Mad Paws Holdings (from 0 to IPO)
• Forbes 30 under 30 + Deloitte TechFast50 ’22 & ‘23
Michael Monin [Co-founder & CTO]
• 10+ years as CTO / COO (web2/web3), 3 years in AI/LLM
• Serial-entrepreneur: MTK Digital (exited / 0->$20m revenue) and Zipchat (AI Chatbot for E-commerce brands)
Thomas Lacroix [Co-founder & CMO]
• 8+ years in Customer Acquisition & E-commerce Growth
• Serial-entrepreneur: Curatible (sold to Blackstone) and MTK Digital (exited / 0->$20m revenue)
Maruša Fasano [CFO/Legal]
• 25+ years in Finance, Strategy, M&A
• Ex-CFO/M&A @Curatible (exited to Blackstone)
• Ex-President of the Board @SotremoSA (exited)
• Co-founder/CFO @SoftOne (exited)
YOUR ROLE
We are looking for a Mid/Senior AI Cinematic Video Editor who is deeply embedded in generative video workflows and can independently craft high-quality, narrative-driven content from concept to final output.
You are a sharp-eyed video editor comfortable operating at the intersection of creativity and emerging technology, building visually compelling long-form videos using AI-first pipelines. You take ownership of the entire production stack — from prompting and generation to editing, compositing, graphic design work and final delivery. You thrive in a high-performance environment where your quick wits and passion for story-telling shine.
Reporting to your Content Lead, this is what you'll be doing:
KEY RESPONSIBILITIES
- Conceptualise scripts based on current production needs and centred around existing AI characters (our own IPs)
- Create narrative-driven, longform video content, including stylized and explicit NSFW visuals, with a strong focus on storytelling, atmosphere, and visual coherence throughout
- Own and manage end-to-end AI video production workflows, from ideation and prompting to generation, editing, and post-production
- Utilise tools such as Kling, Seedance, Happy Horse and other AI video models/platforms to produce high-quality visual sequences
- Develop and maintain consistent character appearance, style, and scene continuity across longer narratives using advanced techniques
- Integrate motion graphic design and colour correction to deliver cohesive final outputs
- Experiment rapidly with new AI models, tools, and techniques, incorporating them into production workflows and sharing skills with the rest of the team
- Align with your Content Lead’s creative direction while maintaining a high degree of autonomy in execution and technical decision-making
- Continuously refine workflows for efficiency, scalability, and output quality
YOUR QUALIFICATIONS
HARD SKILLS
- 4–6+ years of experience in video production, VFX, or digital art, with a strong portfolio (AI-driven video work is a must)
- Hands-on experience with the latest AI video tools and models (e.g., Kling, Seedance, Happy Horse, and similar emerging options)
- Solid understanding of AI image/video generation pipelines, including prompting, batching, consistency techniques, and post-processing
- Experience with traditional tools like Premiere Pro, After Effects or similar for final assembly and polish
- Strong grasp of visual storytelling, pacing, composition, and cinematic language
- Ability to maintain character and scene consistency across sequences in AI-generated content
SOFT SKILLS
🗣 Strong communication & collaboration skills (fluent in English)
🎯 High ownership — able to take ideas from concept to completion independently
⚡️ Experimental mindset — comfortable navigating ambiguity and evolving tools
⏱️ Fast iteration cycles — able to test, fail, refine, and improve quickly
🧠 Curious and self-driven — constantly exploring new AI capabilities and workflows
🧢 Open to feedback and continuous improvement
🍭 #NSFW — Comfortable working with uncensored models and explicit adult content
BONUS POINTS
- Experience in AI-native storytelling or filmmaking
- Background in 3D, VFX, technical art or as a colourist
- Familiarity with training/customizing models (LoRAs, embeddings, fine-tuning)
- Prior experience in adult, dating, or adjacent creative industries a huge bonus
- Experience with ComfyUI
- Experience with Stable Diffusion / AUTOMATIC1111 and related tooling (Advanced prompting, working with trained LoRAs, refining, upscaling, inpainting etc.)
WHY EVERAI?
📈 Exponential Growth: From 50M users in 2 years, to 100M next — and 500M beyond
🚀 Track Record of Category-Creating Innovation: We consistently launch world-first AI applications — setting the pace, not following it
🌍 Global Impact: Top-tier user growth, real-world adoption, and cultural relevance
🧠 Proven Leadership: A senior team that’s launched, scaled, and exited & IPO’d multiple scale ups — now fully focused on reshaping AI companionship
👥 Elite Remote Team: 100% remote and built to win — world-class talent from Tier 1 tech companies, with a culture of ownership, velocity, and radical creativity
🛡️ Ethical Core: Our AI ecosystem is governed by EverGuard, our proprietary AI moderation technology, ensuring responsible development at scale
WHAT WE OFFER
✍️ Contract Type: We prefer B2B, but we’re flexible, what matters is long-term commitment and impact
📍 Work From Anywhere: Fully remote. Choose the environment where you do your best work
🏝️ Paid Time Off: 4 weeks (20 working days) of PTO per year to recharge and reset
👨👩👧👦 Annual Gathering: A yearly in-person meetup to connect, brainstorm, and celebrate wins together
❤️🩹 Health & Wellness Support: Monthly allowance of 100 USD for health insurance expenses & access to unlimited 1:1 sessions with psychologists and lifestyle experts through OpenUp (also available to up to three of your family members)
🏢 Co-Working Space Budget: Work from a co-working space up to twice per month (35 EUR / 40 USD per visit) to stay inspired and connected
📚 Learning Budget: Dedicated funds to support your professional growth: courses, books, conferences, events, or certifications
💻 Company Laptop & Equipment: Laptop provided + monitor budget up to 250 USD + keyboard/mouse/mic/headphones budget up to 150 USD
⚡ AI Tools Access: Premium access to ChatGPT, Hugging Face, Claude Code, and any other tool needed to excel at your job, power your ideas and workflows
🎯 TOP TIER TALENT IS OUR MULTIPLIER
We’re a fully remote group of A-players from Tier 1 tech, led by an exec team who’ve launched, scaled, and exited multiple companies. We move fast, and care deeply about what we build — and who we build it with.
We’re looking for exceptional talent ready to ship & distribute world-first AI products at scale, fast, and co-create with us this category-defining business.
If that’s you — reach out and apply!
ОфисHome-based, Mauritius
Saudi Arabia - Remote
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.
London, United Kingdom; London, United Kingdom - Deliveroo
headAPAC - Remote
ГибридHyderabad, India
headМосква
headМосква
headМосква; Продумывать и внедрять способы оценки качества, которые помогают модели лучше решать реальные задачи: строить цепочки рассуждений, находить верные ответы, корректно применять формулы и методы, работать с многошаговыми задачами