Location: London
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
About Mistral
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.
We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.
We are a dynamic, collaborative team passionate about AI and its potential to transform society.
Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.
Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.
Role Summary:
As our Enterprise Sales Executive, you will be instrumental in shaping Mistral’s adoption with our largest customers across the Public Sector. You will be driving deals end2end: from prospective, first intro call until closing and beyond — together with our dedicated implementation specialist, tech and legal teams.
What you will do:
Lead development (strategic outbound and qualified inbound):
- Handle strategic outreach as well as warm introductions to promising enterprise customers
- Converting inbound deals where upselling / more bespoke agreements can be achieved
Value prop validation for customer:
- Provide hands-on support and guidance to clients during a potential Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process
- Leverage successful POC outcomes to facilitate the conversion of POCs into long-term, revenue-generating contracts
Deal management & closing:
- Develop and execute strategic sales plans to convert leads into valued customers — you are the first point of contact for all external stakeholders and are responsible for properly managing deals and aligning all stakeholders (heavy involvement of customer engineering, product, and commercial teams, both on operational and C-level)
- Handle customer negotiation end2end, together with our legal and implementation specialist team
Executive Engagement:
- Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI, and other key decision-makers within target Public Sector organisations
- Comprehend their specific challenges and needs, positioning our solution as an integral part of their strategic initiatives
Technical Aptitude:
- Demonstrate a deep understanding of the technical intricacies of our product and articulate its value proposition effectively to potential clients
- Work side-by-side with our implementation team to ensure that customer’s questions, concerns and challenges are taken care of during pre-sales, deployment and post-deployment phase
- Collaborate with our technical team to address any customer inquiries or concerns
Training and enablement:
-Empower internal teams with the knowledge and resources that you collect in customer conversations to drive product roadmap and align on priorities
Who you are:
- Proven experience in Sales (enterprise sales/consultative selling, ideally selling a highly complex, technical product)
- Excellent academics: Bachelor and/or Master Degree in Business, Computer Science, or a related field
- Significant work experience within UK Public Sector organisations
- Strong technical skills to navigate quickly evolving products and steer technical discussions
- Significant work experience within AI ecosystem or related data/infrastructure field
- Outstanding negotiation and communication skills
What We Offer:
💰 Competitive cash salary and equity
🥕 Food : Daily lunch vouchers
🥎 Sport : Monthly contribution to a Gym pass subscription
🚴 Transportation : Monthly contribution to a mobility pass
🧑⚕ Health : Full health insurance for you and your family
🍼 Parental : Generous parental leave policy
🌎 Visa sponsorship
By applying, you agree to our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Location: Georgia
Location:
Remote, outside Russia and Belarus
Type:
Full-time
Time zone:
CET or within ±3 hours
About Transparent Hiring
Transparent Hiring is a one-stop recruitment and relocation agency for IT and digital professionals looking to work and relocate in Germany and other European countries. We support the entire process — from finding a job and securing a visa to finding housing and settling in.
We’ve been growing steadily for over 6 years, combining the flexibility of a startup with the reliability of an experienced international team.
We are looking for an SMM Specialist who can take ownership of day-to-day social media content and help us grow our Russian- and English-speaking audiences across Instagram, Threads, and other marketing channels.
This is a hands-on role for someone who understands social media beyond simply publishing posts. You should be comfortable coming up with content ideas, writing strong copy, creating visuals, and feel especially confident producing engaging Reels (from hooks and scripts to editing in CapCut.
What You’ll Do
• Manage day-to-day content for Instagram and Threads in Russian and English, with the possibility of expanding to TikTok in the future.
• Write engaging social media copy with strong storytelling skills, including captions, hooks, CTAs and Stories.
• Create and edit content across all formats (carousels, Stories, static posts), with a solid focus on producing engaging, well-paced Reels (concept, hooks, script, and CapCut editing.
• Develop content ideas and adapt relevant trends to our brand.
• Prepare visuals for landing pages, email newsletters and other marketing materials when needed.
• Use content performance metrics to improve future content.
What we’re looking for
• 2+ years of hands-on SMM experience.
• Fluent Russian and strong written English (B2/C1+).
• Strong skills in creating and editing Reels / short-form videos.
• Excellent copywriting and storytelling skills.
• Proficient in Figma, Canva and CapCut.
• Strong understanding of current SMM trends and platform mechanics across Instagram, Threads and TikTok.
• Good visual sense and attention to detail.
• Creativity and willingness to suggest and test new ideas.
• Ability to work independently, manage deadlines and take ownership of tasks.
It would be a plus if you have
• Experience with email marketing and newsletters.
• Background in recruitment, HR, relocation, career or other expert-driven industries.
Portfolio is
required
. Applications without a portfolio will not be considered.
What We Offer
• Work in a fast-growing startup where processes are still being built - your ideas can directly impact the outcome.
• The opportunity to grow as an SMM specialist and take on more responsibility over time.
• A wide range of tasks across content, visuals, and SMM - no routine “just posting” work.
• Creative freedom.
• Hands-on experience with real marketing goals and measurable results.
• Direct feedback from a team with real experience in the German hiring market.
• Strong portfolio cases you can use for future roles.
Test Task
As part of the selection process, you should be ready to complete a test task related to the role. The task is designed to understand how you approach content, copywriting and visual concepts.
How to Apply
Please send us:
• Your CV
• Portfolio is required (please make sure to include examples of both static/carousel content and Reels/short-form videos)
We are looking for someone who can take ownership of content, bring ideas to the table, and turn them into high-quality social media content — from the first idea to the final post.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
About the Role
We’re looking for a new-generation AI builder — someone between a software engineer, prompt engineer, automation hacker, and product innovator.
This is not a traditional SWE role.
You’ll work on AI-native products, internal agents, automations, and experimental workflows powered by the latest frontier models, open-source tooling, MCP ecosystems, and multimodal systems.
You should be the kind of person who constantly explores what’s happening in AI:
- new agent frameworks
- open-source tooling
- AI video & creative workflows
- MCP servers
- coding agents
- automation stacks
- multimodal systems
- new product patterns emerging every week
You don’t just follow trends — you prototype them.
WHO WE’RE LOOKING FOR
You might be a fit if you:
- Are a hustler who ships fast and experiments constantly
- Have strong intuition for building new AI-native products and workflows
- Stay deeply plugged into the AI ecosystem and emerging tooling
- Understand how modern AI agents actually work under the hood
- Can automate things quickly and creatively
- Think in systems and workflows, not just prompts
- Have strong product taste and curiosity
- Thrive in fast-moving, ambiguous environments
- Learn new tools obsessively fast
MUST-HAVE SKILLS
- Experience with JavaScript or Python (ideally both)
- Comfortable building prototypes, automations, and internal tools
- Understanding of:
- LLMs
- tokens/context windows
- APIs & CLI tooling
- MCP ecosystems
- agent frameworks
- tool use & orchestration
- RAG / retrieval concepts
- Experience using modern AI coding workflows and AI-native tooling
- Ability to quickly turn ideas into working demos or systems
BIG PLUS
- Experience with ML or training/inference infrastructure
- Experience with multimodal or video-generation tooling
- Familiarity with open-source AI ecosystems
- Experience building agentic systems or autonomous workflows
- Strong vibe-coding energy
WHAT YOU’LL WORK ON
- Build AI-native internal and external products
- Prototype new agentic workflows and automation systems
- Explore frontier AI tooling and identify new product opportunities
- Experiment with multimodal generation systems
- Build automations across engineering, creative, and operational workflows
- Work closely with product, infra, and research teams
- Help the company stay ahead of where the AI market is going
THE DEAL
- Top-of-market compensation in USD.
- Small team, high autonomy, and outsized impact.
- On-site role in our Almaty office (we will relocate you from anywhere).
Location: Vladivostok
Workplace: onsite
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
ABOUT YOU
We are looking for a Product / Web Designer at junior level to join our APAC Partnerships team in Vladivostok, working with our HQ Design team. This role is the design half of a two-person build pair: you and the Partnerships Backend Engineer take an inbound partnerships inquiry and turn it into something a player actually sees — a co-branded web shop, a campaign landing page, a creator or affiliate destination page — and ship it together.
You will design conversion-oriented commerce surfaces for the Traffic Source Partners we onboard, adapt Xsolla and partner brand systems into one coherent look per campaign, and build a reusable component library so the next campaign launches faster than the last one. You will hand off to engineering with real specs and then review the implementation until it matches.
This is an entry-level design role with a live audience. We care more about your portfolio and your eye than your years of experience — recent graduates and self-taught designers with strong work are welcome. If you like designing things that get measured, and you want to see your work convert real traffic in APAC markets, we would love to hear from you.
RESPONSIBILITIES
Design partner-facing surfaces
Design the frontend surfaces created for Traffic Source partnerships: co-branded web shop themes, campaign landing pages, affiliate and creator destination pages, promotional banners, and in-shop merchandising.
Design responsive, mobile-first layouts with the purchase funnel in mind — clarity, hierarchy, trust signals, and a short path to checkout.
Adapt Xsolla brand guidelines and each partner's brand into a single coherent visual system per campaign, without breaking either.
Localise and adapt designs for APAC markets, accounting for language length, local conventions, and regional payment and merchandising context.
Ship with engineering
Work directly with the Partnerships Backend Engineer to take designs from Figma into working frontend — provide specs, states, breakpoints, tokens, and exported assets, then review the build until it matches the design.
Build and maintain a reusable component and template library so new partner campaigns can be assembled rather than designed from scratch.
QA implemented pages across browsers and devices and raise the gaps.
Supporting work
Create supporting collateral for partnerships inquiries: pitch visuals, one-pagers, deck slides, and social or creator kit assets.
Collaborate with HQ Design, follow and contribute to the Xsolla design system, and keep design files, naming, and handoff documentation organised.
Take feedback constructively from HQ Design, Partnerships, and partners, and iterate quickly.
Track work in Jira and keep design documentation current in Confluence.
REQUIREMENTS
1–4 years of experience in product, web, or UI design, or a strong portfolio of personal, freelance, or academic work. A portfolio is required for this application.
Proficiency in Figma — components, auto-layout, variants, and prototyping.
Solid grounding in layout, typography, visual hierarchy, colour, and responsive / mobile-first design.
Working knowledge of Adobe Creative Suite (Photoshop, Illustrator) for asset production.
An understanding of what makes a landing page convert, and a willingness to have your design judged on that.
Able to work within an existing design system and brand guidelines rather than around them.
Attention to detail and a high standard of quality in design execution.
English sufficient for daily collaboration with the HQ Design team; Russian for day-to-day work in the Vladivostok office.
Based in, or willing to relocate to, Vladivostok for an onsite role.
NICE TO HAVE
Basic HTML and CSS — enough to spec accurately and QA an implementation.
Motion and micro-interaction work (After Effects, Framer Motion, Rive, Lottie).
Experience designing e-commerce, storefront, or checkout flows.
Experience with marketing landing pages, A/B testing, or conversion optimisation.
Illustration, 3D, or custom asset creation skills.
Familiarity with the gaming industry, creator and influencer marketing, or affiliate campaigns.
Additional languages relevant to APAC coverage (Korean, Chinese, Japanese).
Professional education in design or a related field.
BENEFITS
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Benefits
Convenient working tools:
New Mac laptop and any other necessary equipment for your efficient work.
Google Workspace, Atlassian, Jira, Slack
Professional growth:
Paid professional training and attendance at specialized conferences
Exchange of experience between employees within the company
Opportunity for professional growth within the company and department
Obtaining expertise in various areas and products of the company
More perks
Possibility of flexibility working
Access to the corporate library
Health & dental insurance
No dress code
Comfortable and new office environment
The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Vladivostok
Workplace: onsite
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
ABOUT YOU
We are looking for a Backend Engineer at junior level to join our APAC Partnerships team in Vladivostok, working alongside our HQ Integration Management and Engineering teams. Your job is to make partnerships technically real: turning an inbound partnerships inquiry into a working integration, generating and serving the affiliate and referral links that Traffic Source Partners use, and making sure the traffic those links carry lands correctly in our Web Shops and is attributed all the way through to a purchase.
You will write the backend that sits between a partner and our commerce platform — link generation, click and conversion tracking, attribution pass-through, postbacks, and the reporting endpoints that feed partner payouts. You will also build the internal tooling that lets the Partnerships and Customer Success teams onboard partners and reconcile payouts without hand-editing spreadsheets.
This is an entry-level engineering role with genuine product surface area. Recent graduates and career-changers with a strong project portfolio are welcome. If you like small, well-scoped systems that other people depend on daily, and you want to learn commerce, attribution, and payments engineering from a team that runs it at global scale, we would love to hear from you.
RESPONSIBILITIES
Build partner integrations
Build and maintain backend services that power Traffic Source partnerships: affiliate and referral link generation, click and conversion tracking, attribution parameter pass-through, server-to-server postbacks and webhooks, and partner-facing reporting endpoints.
Take new partnerships inquiries from intake through to production — clarify the requirement with the Partnerships and BD teams, write the technical spec, implement, test, and deploy.
Integrate affiliate links with Xsolla Web Shops so partner-driven traffic is tracked end to end and attributed correctly at checkout.
Read a partner's API documentation and build against it; where a partner needs to build against us, document our side clearly and support their integration.
Tooling & data
Build internal tooling and scripts for partner onboarding, bulk link generation, performance data extraction, and payout reconciliation reporting used by the Customer Success and Partnerships teams.
Investigate and resolve attribution and tracking discrepancies together with Analytics and Customer Success — missing conversions, duplicate events, broken parameters, timing mismatches.
Add logging, metrics, and alerting so integration failures are caught by us rather than reported by a partner.
Ways of working
Write and maintain API documentation and integration guides for partners and internal stakeholders.
Participate in code review, write tests, and work within existing CI/CD pipelines and Git workflows.
Work with the HQ Engineering and Integration Management teams on standards and architecture; escalate design decisions early rather than working around them.
Collaborate closely with the Partnerships Designer on the frontend surfaces your integrations power, and with Customer Success on the payout data your services produce.
Track work in Jira and keep technical documentation current in Confluence.
REQUIREMENTS
1–4 years of professional backend development experience, or a strong portfolio of personal, academic, or internship projects you can walk us through. Recent graduates are welcome.
Working proficiency in at least one backend language — Go, PHP, Python, Node.js / TypeScript, or Java.
Solid SQL and relational database fundamentals (schema design, joins, indexing basics).
Good understanding of HTTP, REST APIs, JSON, webhooks, and API authentication (API keys, OAuth 2.0).
Comfortable with Git and working in a code-review culture.
Able to debug a problem you did not write — read logs, reproduce, isolate, and explain the cause.
English sufficient for technical discussion and written documentation with HQ teams; Russian for day-to-day work in the Vladivostok office.
Based in, or willing to relocate to, Vladivostok for an onsite role.
NICE TO HAVE
Exposure to affiliate or performance marketing technology: tracking pixels, S2S postbacks, click IDs and UTM parameters, last-click attribution, deduplication, or traffic-quality and fraud filtering.
E-commerce, storefront, checkout, or payments integration experience.
Frontend basics (JavaScript / TypeScript, React) — enough to work productively with the Partnerships Designer on shop and landing-page surfaces.
Docker, CI/CD pipelines, and cloud platforms (GCP or AWS).
Message queues, scheduled jobs, or data pipeline experience.
Familiarity with analytics or BI tooling.
Interest in the gaming industry, fintech, or high-load consumer platforms.
BENEFITS
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Benefits
Convenient working tools:
New Mac laptop and any other necessary equipment for your efficient work.
Google Workspace, Atlassian, Jira, Slack
Professional growth:
Paid professional training and attendance at specialized conferences
Exchange of experience between employees within the company
Opportunity for professional growth within the company and department
Obtaining expertise in various areas and products of the company
More perks
Possibility of flexibility working
Access to the corporate library
Health & dental insurance
No dress code
Comfortable and new office environment
The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: Vladivostok
Workplace: onsite
ABOUT US
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
ABOUT YOU
We are looking for a Customer Success Manager at junior level to join our APAC Partnerships team in Vladivostok. You will work side by side with our HQ and APAC Customer Success Managers, supporting the day-to-day success of the Traffic Source Partners we onboard — affiliates, media partners, creator networks, and publishers who drive players to the web shops we operate for game developers.
The centre of gravity of this role is account management operations, and in particular partner payouts:making sure every partner is set up correctly, that their performance data is accurate, that their payout is calculated, documented, approved and paid on time, and that any discrepancy is chased down and closed. It is detailed work that partners feel immediately — getting it right is how trust in the programme gets built.
This is an entry-level position with real ownership from day one. Fresh graduates are welcome to apply, provided you have the right attitude and eagerness to learn. If you are organised, comfortable with numbers, enjoy being the reliable person other teams can count on, and want to learn the commercial side of the games industry from the inside, we would love to hear from you.
RESPONSIBILITIES
Partner payouts & account operations (primary)
Own the recurring payout cycle for onboarded Traffic Source Partners: collect and validate performance data, prepare payout calculations against agreed commercial terms (revenue share, CPA, fixed fee, bonuses), and submit them for approval.
Work with Finance, Legal, and Partnerships to make sure each partner's invoicing, tax, and banking documentation is complete and current before payment.
Investigate and resolve payout discrepancies — missing conversions, mismatched reporting periods, currency and FX questions, adjustments and clawbacks — and communicate the outcome clearly to the partner.
Maintain accurate partner records: contacts, contract terms, payout schedules, tracking setup, and account status in CRM (Salesforce) and internal trackers.
Produce recurring reporting: weekly partner status, monthly payout reconciliation, and inputs for quarterly business reviews.
Customer success support
Support the HQ and APAC CSM team on standard customer success duties across the partner portfolio — meeting preparation, follow-ups, action-item tracking, and documentation.
Help onboard new Traffic Source Partners: account setup, documentation, tracking-link setup, first campaign, and first payout.
Act as first-line responder for partner questions, escalating technical issues to Engineering and commercial questions to the account owner.
Monitor partner performance dashboards and proactively flag anomalies — traffic drops, conversion drops, stalled integrations, unpaid balances — before they become escalations.
Act as the voice of the partner internally, liaising with Product, Engineering, Design, BD, and Support so requests are delivered accurately and on time.
Ways of working
Coordinate across time zones with HQ, APAC Partnerships, and regional teams.
Keep process documentation, decision logs, and onboarding notes current in Confluence; track work in Jira.
Spot the repetitive parts of the payout and reporting process and propose ways to simplify or automate them.
REQUIREMENTS
1–4 years of experience in customer success, account management, partner or affiliate operations, ad operations, finance operations, or a comparable client-facing or operational role. Fresh graduates with the right attitude are welcome.
Fluent in English; you will work in English daily with HQ and APAC colleagues and partners.
Strong numeracy and confident spreadsheet skills (Google Sheets / Excel: lookups, pivot tables, reconciliation).
Exceptional attention to detail. This role touches money movement; accuracy matters more than speed.
Highly organised and self-directed — able to run a recurring process on a calendar without being chased.
Clear written communicator, able to explain a payout calculation or a tracking issue in plain language to a partner or a teammate.
Comfortable working across APAC and HQ time zones and in a fast-paced environment where priorities shift.
Based in, or willing to relocate to, Vladivostok for an onsite role.
NICE TO HAVE
Exposure to affiliate marketing, performance marketing, ad networks, or creator and influencer programmes.
Familiarity with CRM tooling (Salesforce), Jira and Confluence, or BI dashboards.
Basic understanding of invoicing, VAT or withholding tax, and cross-border payment flows.
Interest in the gaming industry, payments and fintech, or B2B SaaS.
Additional languages relevant to APAC coverage (Korean, Chinese, Japanese).
Any prior experience in coordination, support, operations, or student project lead roles.
BENEFITS
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Benefits
Convenient working tools:
New Mac laptop and any other necessary equipment for your efficient work.
Google Workspace, Atlassian, Jira, Slack
Professional growth:
Paid professional training and attendance at specialized conferences
Exchange of experience between employees within the company
Opportunity for professional growth within the company and department
Obtaining expertise in various areas and products of the company
More perks
Possibility of flexibility working
Access to the corporate library
Health & dental insurance
No dress code
Comfortable and new office environment
The duties and responsibilities of this position may evolve over time to support the organization's goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy.
For any inquiries related to data privacy, please contact: careers@xsolla.com
Explore more opportunities at: https://xsolla.com/careers
Location: San Mateo
Workplace: Hybrid
Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit.
ABOUT THE COMPANY
Our client is a fast-growing AI infrastructure company that has built a state-of-the-art data curation platform used to train some of the most demanding deep learning models in the world. Their technology automatically curates and optimizes petabytes of training data — algorithms that are modality-agnostic and require no labels — to make model training dramatically faster and more efficient. Customers see results that speak for themselves: 7x–40x faster training, model performance equivalent to training on 10x more raw data, and smaller models (with less than half the parameters) that outperform larger ones and substantially cut deployment costs.
Backed by $57.5M raised across Seed and Series A, with investors including Microsoft, Amazon, Felicis, and AI luminaries like Geoff Hinton, Yann LeCun, and Jeff Dean, our client has built a lean team of ~60 people. This is a company already proving out results with real enterprise customers.
THE MISSION
Foundational models are only as good as the data they're trained on. Our client exists to close the gap between raw data and truly optimized training data — without requiring labels, without adding compute cost, and without forcing customers to compromise on model quality. Every strategic account this team lands is a chance to prove that better data curation, not just bigger models, is the unlock the industry has been missing.
THE OPPORTUNITY
As Forward Deployed Engineer (Post-Sales), this is a rare role at a company small enough that your fingerprints will be on every major account, and well-funded enough that the roadmap, the compensation, and the customer roster are all already real. You'll be one of the founding members of the post-sales technical org, working directly with strategic enterprise accounts to take them from signed contract to production deployment — and shaping the playbooks that the next wave of hires will use.
If you've been looking for a role that lets you stay hands-on with distributed systems and model training while also owning the high-stakes customer relationships, this is that role.
WHAT YOU'LL DO
- Own end-to-end onboarding, deployment, and production rollout of the platform for strategic enterprise accounts — from first technical conversation through stabilization and beyond
- Serve as the primary technical point of contact for your accounts, building long-term relationships and driving adoption across complex on-prem and hybrid environments
- Design scalable, secure workflows spanning compute, storage, networking, and distributed systems across AWS, GCP, Azure, and on-prem Kubernetes
- Translate ambiguous, real-world customer requirements into concrete technical architecture — there's no pre-written spec waiting for you; you help define the problem
- Build the processes and playbooks for post-sales deployment from 0→1, knowing that what you build now becomes the foundation for the team scaling behind you
- Partner cross-functionally with Sales, Engineering, and Research, relaying field learnings that directly shape the product roadmap
- Travel to customer sites as needed (roughly 15%) to support critical deployments and high-stakes engagements
WHAT YOU BRING
- 5–10 years of experience in a post-sales individual-contributor capacity, owning customer deployments as a Forward Deployed Engineer, Post-Sales Solutions Engineer/Architect, Implementation Engineer, Machine Learning Engineer, or customer-facing engineer
- Hands-on machine learning and model training experience — you understand pre-training, mid-training, and post-training concepts, not just how to call an API
- Real experience deploying software into enterprise customer infrastructure
- Strong Python proficiency (required) and AWS proficiency (required)
- A track record of owning the full post-sales enterprise lifecycle — onboarding, optimization, and everything in between
- Experience building post-sales processes or playbooks from scratch
- Comfort operating in ambiguous, high-stakes, and fast-moving environments — startup or high-ambiguity experience is a plus
- A technical degree (CS or equivalent)
- A demonstrated ability to translate messy, ambiguous customer requirements into clean, concrete architecture
- Willingness to travel to customer sites as needed (roughly 15%)
- Nice to have: exposure to multi-cloud environments (GCP, Azure), on-prem or hybrid Kubernetes, or broader ML tooling — not required, but a strong differentiator
Note: This role is built for people who bring both deep post-sales, customer-facing deployment experience and hands-on ML/model training expertise with measurable results. If you're strong in only one of these two areas, this likely isn't the right fit — but we'd still encourage a conversation if you're close.
WHY JOIN?
- Compensation: $230,000–$300,000 base plus extremely competitive equity
- Health benefits: 100% covered health benefits (medical, vision, and dental)
- 401(k): 401(k) plan with a 4% company match
- Time off: Unlimited PTO
- Wellness: Annual $2,000 wellness stipend
- Learning & development: Annual $1,000 learning and development stipend
- In-office perks: Daily lunches and snacks provided in the office
- Relocation: Relocation assistance for employees moving to the Bay Area
- Real ownership: With a lean team of ~60 people, you'll be the technical owner of some of the company's most strategic customer relationships
- Proven in production: You're joining a company whose product already delivers 7x–40x faster training and measurable model performance gains for real customers
- Backing that matters: $57.5M raised from Microsoft, Amazon, Felicis, and AI pioneers including Geoff Hinton, Yann LeCun, and Jeff Dean
- Hybrid setup: 4 days per week in the San Mateo, CA office, with the rest of the team building alongside you in person
- Visa support: Open to visa transfers, including OPT and H-1B transfers
INTERVIEWING PROCESS
- Initial Screen — Assesses background, interest, culture fit, comp expectations, and logistics
- Hiring Manager Technical Screen (30 min) — Evaluates distributed systems experience, cloud infrastructure (AWS/GCP/Azure), Kubernetes, and post-sales/customer-facing mindset
- Coding Screen (1 hour) — Live coding in Python with end-to-end debugging
- On-site (3.5 hours) — System design/architecture discussion, technical deep dives, behavioral/stakeholder scenarios, and cross-functional interviews with Sales, Engineering, and Research
We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT THIS ROLE MEANS AT HIGGSFIELD
This role owns how Higgsfield measures its product - from the first sign-up to whether people come back.
You are the measurement owner for onboarding, first generation, the paywall, plans and credits, and retention. Product managers ship fast here - your job is to make sure they ship knowing.
You make sure:
- Every product decision has a number attached to it before it ships and after it ships
- Experiments are designed to be readable, and then read honestly - including when the answer is “this didn’t work”
- The events the product emits can be trusted; you own the definition, not just the query
- A PM gets an answer in hours, not next sprint
You are the person who decides what “it worked” means.
WHAT YOU WILL DO
Product measurement
- Own the core product metrics: activation, first-generation success, generation depth, free→paid conversion, repeat usage, retention by cohort and segment.
- Define each metric once, write the definition down, and hold the line on it - one definition across dashboards, decks, and Slack.
- Instrument new features before launch, with product and engineering: which events, which properties, what success looks like, when we call it.
- Watch the health of the event stream itself - tracking drift, double counting, missing parameters, naming breakage and find the problem before a decision gets made on top of it.
Experimentation
- Design A/B tests properly: hypothesis, one primary metric, unit of randomization, MDE, sample size, run length, guardrail metrics.
- Read them honestly: significance, peeking, novelty effects, sample-ratio mismatch, segment heterogeneity.
- Separate “we proved this works,” “we proved this doesn’t,” and “we can’t tell from this test” - and say which one out loud.
Product & monetization analysis
- In-product funnel work: onboarding and quiz, first generation, paywall, checkout, plan choice, credit top-ups.
- Pricing and packaging analysis: plan mix, credit consumption, unit economics per generation, margin by feature and by model.
- Feature adoption and its real effect on retention and revenue — separating “users who do X retain better” from “making people do X improves retention.”
- Behavioural segmentation: casual creators vs corporate/B2B, new vs returning, by model and by use case. Mixing them hides everything that matters.
Making it usable
- Build the few dashboards PMs actually open on their own — decision-shaped, not comprehensive.
- Write short readouts a non-analyst can act on. Visualize data for humans, not for other analysts.
- Automate recurring reporting so your hours go to new questions, not refreshes.
- Work in SQL, Python, BigQuery and product analytics tools. We use AI heavily - resourcefulness beats syntax.
WHO WE'RE LOOKING FOR
We're looking for an analyst with opinions.
You should have:
- Strong SQL: window functions, cohorts, funnels and retention on raw event data, without help.
- Python at working level for analysis (pandas, notebooks). Entry level is fine - we use AI heavily.
- Real experimentation experience: you have designed tests, run them, and killed features with the results.
- Statistical honesty: you know what a p-value does and does not entitle you to say, and you have refused to call a flat test a win.
- Understanding of subscription + one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, deferred value of unspent credits.
- The instinct to check the instrument before explaining the movement - a surprising number is a claim, not a fact.
- Ownership: you decide what's worth analyzing, you chase the fix, you follow the recommendation to a shipped change.
- Clear written and spoken English, B2+.
Backgrounds that often do well:
- Product analysts from consumer subscription or PLG products
- Growth/BI analysts who moved into product and stayed
- Early-startup analysts who built product measurement from zero
- Data scientists who got tired of models and want decisions
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Wait for a ticket to tell you what to analyze
- Want to build models more than you want to change decisions
- Need a data engineering team and clean tables to exist before you can start
- Would report a lift you don't believe in because a stakeholder wants it
- Need perfect data before you can say anything useful
- Want predictable 9–5 workdays
HIRING PROCESS
- Screening call (30 min)
- Hiring-manager screen (30 min)
- Business case (1 hour)
- Take-home with real-shaped data (7 days, ~10–12 hours of work)
- Team interview (60 min)
- Paid on-site trial (1 month)
WHAT WE OFFER
- Competitive base salary in USD, based on your experience, skills, and the scope of the role.
- Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth.
- Relocation support to Almaty for candidates moving from another city or country.
- A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company.
- Opportunities for professional growth, ownership, and career development as the company scales.
- Company-provided equipment, meals, transportation, or other office benefits.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT THIS ROLE MEANS AT HIGGSFIELD
Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing.
This role makes the company act per user, and know what that action was worth.
You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number.
You make sure:
- Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else
- We know who is about to churn early enough to do something about it — and we know whether the something worked
- Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three
- Every model and every campaign has a holdout behind it, so we can always state what it is worth in money
WHAT YOU WILL DO
Churn, retention & lifecycle propensity
- Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it.
- Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing.
- Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system.
- Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list.
Uplift modelling & offer targeting
- Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves.
- Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes.
- Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off.
- Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup.
- Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it.
Lifetime value & payer economics
- Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount.
- Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes.
- Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling.
- Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it.
Experimentation & causal measurement
- Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it.
- Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying.
- Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud.
- Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck.
How we ship
- Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining.
- Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit.
- Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score.
- Write down what each model is worth, in money, and keep that number current.
WHO WE'RE LOOKING FOR
- Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this.
- Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale.
- Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift.
- Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot.
- Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer.
- Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model.
- Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule.
- Clear written and spoken English, B2+.
Backgrounds that often do well:
- Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached
- CRM and lifecycle data scientists who owned campaign targetingandits incrementality
- Causal inference and uplift specialists who ship policies rather than papers
- Strong product analysts who moved into modelling and kept the decision instinct
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open
- Want to own a recommender or a serving stack — ranking is not in this role's scope today
- Would target an offer at the users most likely to buy and call it personalization
- Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't
- Optimize AUC and hand the score to someone else to work out what to do with it
- Need clean labelled data, a feature store and an experimentation platform to exist before you can start
- Want predictable 9–5 workdays
HIRING PROCESS
We move fast:
- Screening call (30 min)
- Technical interview & case study (1 hour)
- Practical home task (7 days)
- Team interview (60 min)
- Paid on-site trial (1 month)
WHAT WE OFFER
- Competitive base salary in USD, based on your experience, skills, and the scope of the role.
- Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth.
- Relocation support to Almaty for candidates moving from another city or country.
- A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company.
- Opportunities for professional growth, ownership, and career development as the company scales.
- Company-provided equipment, meals, transportation, or other office benefits.
Location: Paris; London
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As a direct Business & Operations partner to our Solutions team, including Deployment Strategists and Applied AI Engineers. You will work closely with Solutions leadership to build & scale the operating system that powers value & operational excellence across pre-sales and post-sales activities.
You will translate our value vision into a scalable operating model by building automations, defining processes and ways of working, standing up KPIs and reporting, operationalising our internal ROI framework, feeding the feedback loop to capitalize on our successes, and embedding reusable value frameworks into customer engagements.
This role is critical to turning our go-to-market strategy into repeatable, AI-native action, aligning delivery quality, output per FTE, and customer satisfaction to improve the efficiency and impact of our Solutions organisation and accelerate the value Mistral delivers to customers.
WHAT YOU WILL DO
Operating System & Automation
- Build the secure-by-design operating system that links our tooling stack to the Solutions team’s needs, and design the internal tools & automations that raise output per FTE.
- Streamline Deployment Strategist operations across pre-sales scoping and delivery, compounding shared knowledge, templates, and reusable IP.
- Drive daily adoption of our AI layer throughout the Solutions team, productising internal work into reusable assets for the team.
Value Intelligence & ROI
- Operationalise the internal ROI framework per project / use case, defining and surfacing where we build value.
- Define the reporting layer and metric catalog (what we collect and surface) and build the dashboards that turn our data foundation into decisions and proof of value.
- Stand up the customer satisfaction measurement system (define, collect, surface) as a core input to value & operational excellence.
Processes, Ways of Working & Cross-Functional Collaboration
- Codify delivery playbooks, ways of working, and scaling programs end-to-end across the customer lifecycle
- Partner with Revenue Growth, People Growth, RevOps, CSMs and Product & Engineering to align the operating system with company strategy and fuel the flywheel.
- Ensure our operational processes are followed across geographies, embedding safety, security & compliance into our ways of working.
WHAT WE'RE LOOKING FOR
- 4+ years of experience in strategic operations, business operations, or a chief-of-staff role within technical sales or solutions engineering.
- Strong ability to bring structure to ambiguity and drive complex, cross-functional initiatives from strategy through execution.
- Proven track record in optimising processes, impacting business KPIs, and aligning resources with business priorities.
- Exceptional negotiation and diplomacy skills: ability to navigate complex stakeholder dynamics and align competing priorities.
- Hands-on, execution-focused mindset with a bias for action in ambiguous, fast-changing environments.
- Hands-on builder of internal tools and data workflows; comfortable turning manual processes into scalable systems.
- Strong analytical skills to design ROI and value frameworks, build reporting, and translate data into operational decisions.
- Technical acumen and AI fluency: understanding of AI implementation, use cases, and scaling challenges.
- Native-level fluency in English; additional European languages are a plus.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Banco Plata is a digital bank and fintech startup specializing in consumer lending, credit cards with a cashback program, and interest-free installment plans.
Remote work or relocation options available to Cyprus, Serbia, Spain, Georgia, or Mexico.
УдалённоseniorКипр, Испания, Грузия, Мексика, Сербия; Remote work or relocation (Cyprus, Serbia, Spain, Georgia, or Mexico)
Location: Metro Manila; Bangkok; Kazakhstan
Workplace: Hybrid
📍 Manila, Philippines | Relocation required
Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines.
We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region.
7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors.
Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries.
If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us.
Southeast Asia's fintech moment starts here.
About the role:
You'll lead the Finance side of the core banking system project — turning accounting needs, regulatory obligations, and product-administration realities into system requirements, and delivering against them.
What you'll do:
- Lead the core banking system project from the Finance side: own the plan end to end — scope, milestones, dependencies, and risk tracking — and act as Finance's subject-matter voice across vendor selection, design, and rollout.
- Run UAT, data-migration validation, and cutover planning from the Finance side, coordinating closely with IT/Engineering and vendors.
- Connect the dots across Finance, IT/Engineering, and Compliance — surfacing regulatory gaps tied to system limitations and helping close them, and keeping Finance leadership informed on progress, risk, and dependencies.
What you'll own:
- Turn accounting needs, regulatory obligations (such as BSP/MORB), and product-administration realities into concrete system requirements, and manage delivery against them.
- Build and drive the accounting-backlog remediation plan with real milestones, pulling in Finance colleagues and outside help where it makes sense.
- Get month-end and period-end close and reporting, based on the core banking system, integrated directly with the GL — and keep it that way.
- Take the Odoo accounting-automation work into properly owned, documented, controlled, and audit-ready process.
- Identify and prioritise efficiency gains — automating manual entries, reconciliations, and reporting, using AI where it applies — to cut team effort and errors.
- Contribute to IPO-readiness work wherever it touches financial systems and controls.
What makes you a strong fit:
- 10+ years of experience with a strong track record in finance/accounting project management.
- A solid grip on accounting fundamentals and the close process.
- Proven automation experience — you've led or driven process-automation initiatives, not just used automated tools — including practical Odoo (or a comparable ERP) experience for accounting automation.
- Strong IT literacy: comfortable with system architecture, data flows, and technical requirements — enough to bridge Finance and IT/Engineering without a translator.
- Strong project-management discipline: scoping, milestone tracking, risk management, and stakeholder communication across Finance, IT/Engineering, and Compliance.
- Ability to turn messy, ambiguous problems into a plan with real milestones.
What we offer:
OWNERSHIP AND FLEXIBILITY
- Stock option plan — four-year vesting with a 25% cliff after the first year
- Hybrid-first work environment
- Company-provided tools and equipment
- Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene
HEALTH AND TIME OFF
- Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits
- Access to an internal mental health support specialist
- 22 vacation days, Philippine public holidays, and 15 sick days
- 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila
RELOCATION AND FAMILY SUPPORT
- Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics
- Reimbursement of eligible pet relocation expenses
- USD 2,500 per year for flights home
- Baby and family stipends for employees relocating to Manila: USD 1,000 per month for each child under two and USD 500 per month for each child aged two to 18
GROWTH AND TEAM EXPERIENCE
- Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications
- Company-sponsored trips to Manila to meet and work with your team in person
- Regular team offsites, sports activities, and team events
- High-performing teams can earn a dedicated beach house week in Southeast Asia
We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.
Location: Limassol, Cyprus
Workplace: on-site
Mayflower is a technology company building large-scale entertainment products for a global audience. Our platforms serve millions of users worldwide and rank among the top-50 most visited websites globally. For more than 10 years, we've been creating reliable, high-performance solutions at the intersection of product, engineering, and entertainment.
The
Tax & Compliance Manager
will be responsible for overseeing the company’s direct and indirect tax obligations across multiple jurisdictions while ensuring ongoing compliance with international tax regulations and reporting requirements.
The role combines strategic oversight with operational execution and requires someone comfortable working in a fast-paced international environment. The successful candidate will manage global VAT/sales tax matters, corporate tax coordination, regulatory tax compliance, and support business initiatives from a tax perspective.
Responsibilities
Direct Tax
Coordinate corporate income tax compliance
Work with external tax advisors and accountants on tax filings and reporting
Support annual audits and tax provisions
Monitor tax exposures and identify tax risks
Assist with transfer pricing coordination and inter-company arrangements
Review tax implications for new business initiatives
Indirect Tax
Manage global VAT/sales tax obligations mainly for B2C operations
Ensure proper tax treatment for customer transactions and invoicing
Monitor international indirect tax developments and regulatory changes
Handle VAT registrations, filings, OSS requirements, and cross-border tax compliance
Coordinate with Finance and Product teams regarding tax setup for new markets and payment flows
Compliance & Regulatory
Maintain global tax compliance calendars and filing deadlines
Ensure documentation and records are maintained for audit readiness
Coordinate with external advisors, auditors, and regulatory stakeholders
Monitor changes in tax legislation and assess business impact
Support compliance-related projects and internal process improvements
Business Support
Advise internal teams on tax-efficient operational practices
Support treasury and payment-related initiatives from a tax perspective
Participate in finance system and ERP improvement projects regarding Tax setups
Assist with tax automation and reporting enhancements
Support expansion into new operational structures
You will thrive here if you have
5+ years of experience in tax, compliance, or international finance roles
Strong knowledge of indirect tax (VAT/sales tax)
Experience with international and cross-border tax matters
Experience in B2C, fintech, payments, e-commerce, SaaS, or digital industries is highly preferred
Ability to manage multiple jurisdictions and external advisors
Strong analytical and problem-solving skills
Excellent communication and stakeholder management abilities
Ability to work independently in a fast-paced environment
Strong organisational and project management skills
Nice-to-Have
ACCA / ACA / CPA / CTA qualification
ADIT (Advanced Diploma in International Taxation) qualification is considered a strong advantage
Experience with multinational group structures
Knowledge of transfer pricing principles
Experience with ERP systems such as Business Central 365
Experience in high-volume transaction environments
Conditions
We know that great talent deserves great conditions, so here's what you can expect when joining us:
EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family.
Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free.
Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.
Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus.
Mindfulness & well-being support, including psychological assistance with 50% coverage.
50% coverage of school and kindergarten fees for your children.
Fully covered sports benefits, and also access to in-house electric scooters and bike rentals.
Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey.
A culture of recognition: a peer reward program to celebrate your contributions.
A fully equipped office in Limassol, with everything you need for deep work and collaboration.
Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities.
Benefits are provided in accordance with the company's policies and eligibility criteria.
Recruitment process
HR Interview
Interview with the Hiring Manager
Test assignment: Case Study
Final interview with C-level team
Job Offer
Location: Almaty, Kazakhstan
Workplace: OnSite
Why work at Higgsfield AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $500M in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
Why this role exists
Higgsfield is one of the fastest-growing generative AI companies in the world. A large share of our revenue already comes from business users, but the product wasn't built for them, and there's no dedicated PM. We need someone to build the B2B and Enterprise product from the ground up, own the full path from a corporate email signup to a signed enterprise contract, and turn what's currently a reactive feature stream into a real business line.
What you'll actually do
• Own the B2B and Enterprise product surface end-to-end: workspaces, roles, SSO, SCIM, audit logs, admin controls, user and asset management, billing and seat management, brand controls, API access for enterprise.
• Own the self-serve team-plan motion too: corporate email signup flow, in-product invites, seat expansion, the path from one paying user to a paying team.
• Partner with sales on live deals: security questionnaires, compliance responses, contract-blocking features, pilot design. Sit on customer calls, not just receive summaries.
• Untangle the workspace and collaboration model: separate identity from content ownership so users can be invited to collaborate without breaking billing or credit pools.
• Build the enterprise data residency, retention, and privacy story alongside legal and security.
• Design the metrics that matter: corporate-email signup share, team-plan conversion, seats per account, expansion revenue, enterprise pipeline conversion, deal cycle time, loss reasons by segment.
• Work directly with Sales, Legal, Security, Applied ML, Backend, Growth, and Payments. Frequent contact with actual enterprise buyers.
Must-haves
1. Founding or early-operator experience. You've spent years trying to build something of your own. You know what it's like to own an outcome when nobody hands you a spec.
2. Shipped a B2B or Enterprise product at scale, ideally from zero or near-zero. You've built the workspace, the admin, the SSO, the billing, and you've sat across from real buyers to know why each one mattered.
3. Comfortable owning both self-serve growth mechanics and top-down enterprise motion. You don't treat product-led and sales-led as different jobs.
4. Strong technical judgment. You can reason about auth models, permission systems, tenancy, and API surfaces without needing an engineer to translate.
5. You measure in revenue, seats, and cycle time, not features shipped. You can defend a scope cut to Sales and a pilot commitment to Engineering in the same afternoon.
Who this is not for
• You prefer working from complete specifications rather than defining problems yourself.
• You want to inherit a mature B2B org. This is zero-to-one.
• You are looking for a slower release cycle. We ship weekly, and enterprise deals can compress that to hours.
Nice to have
• Background at a fast-scaling B2B SaaS, collaboration tool, or developer platform in the US, EU, or Asia.
• Direct experience with SSO, SCIM, SOC 2, GDPR, data residency, or enterprise procurement cycles.
• Experience turning a strong B2C product into a real B2B business.
• Comfort with generative AI, creative tools, or API products.
What We Offer
- Competitive base salary in USD, based on your experience, skills, and the scope of the role.
- Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth.
- Relocation support to Almaty for candidates moving from another city or country.
- A seat where the business line you build shows up on the P&L within the quarter.
- A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company.
- Opportunities for professional growth, ownership, and career development as the company scales.
- Company-provided equipment, meals, transportation, or other office benefits.
This is a fully on-site role based in our Almaty office. Our team works from the office five days per week for the full working day. We believe in-person collaboration is an important part of how we move quickly, solve complex problems, and build strong teams.
Location: ES - Barcelona, Spain
Scopely is looking for an Engineering Manager, Client (Unity) to join our new unannounced project in Barcelona, Spain to work on a hybrid basis 3 times a week. We can support with visa sponsorship and relocation support
At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a distributed team of game enthusiasts who are developing, publishing, and innovating in the mobile games industry, connecting millions of people around the world every day
We embrace AI-forward development practices and expect our engineers to be curious and pragmatic about how these tools can raise the bar
We are in the development stages of a bold, unannounced, cross-platform Strategy/MMO title. We are looking for passionate game makers to collaborate, get in early and make their mark on this exciting venture
What You Will Do
Lead and manage a team of experienced engineers who focus on developing and maintaining the game client
Design and implement new features in our game client, working collaboratively with other stakeholder teams to understand requirements and identify the best technical solutions
Propose and implement improvements to our development processes, workflows and tools, to increase efficiency, quality and throughput
Conduct pair programming, code reviews, 1-1’s and knowledge sharing sessions to enhance skills and build a strong development culture
Work closely with QA to resolve bugs and deliver high-quality code for testing, contributing directly to the code base
Be the quality gate for all code that goes into our game. Keep the team writing clean, efficient and optimized code
Work with stakeholders to figure out and implement the best alternative technical solutions
Leverage AI tools and agentic workflows in your daily work — from tech planning, code generation and review to exploring novel solutions
What We’re Looking For
Have technically led or managed a team (any size really)
Proven ability to engage and motivate, to bring out the best in people
Experienced being part of a professional development team working on game client features or other relevant areas
Familiarity with software development methodologies such as Agile and Scrum
Excellent experience working with multiple stakeholders in the development process - be able to understand their goals, and deliver/ evaluate various tech solutions to meet these
Strong technical skills and experience in at least one of the following areas: game engines, rendering engines, networking, physics, AI, audio
Excellent programming skills in C# or C++
Experience in mobile and/or PC game development
Experience with version control, build tools and deployment pipelines
Strong analytical and problem-solving skills
Strong communication and collaboration skills to work effectively with cross-functional teams
Knowledge of software engineering best practices and trends
Hands-on experience working with AI-assisted development tools (e.g. GitHub Copilot, Codex, Claude Code) and an understanding of how agentic workflows can augment engineering productivity.
Bonus points
Experience with automated testing and continuous integration
Experience with cloud technologies and services for game development
Knowledge of game design principles and user experience
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Location: Paris; Amsterdam; Linz; Munich; London; Berlin
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
Mistral is looking for AI Scientists with deep expertise in engineering sciences and machine learning to push the frontier of AI-accelerated simulation. Within AI4Engineering Science, you will research and train foundational physics models which are substantially more capable than what exists today and can be fine-tuned for downstream applications by both customers and internal teams.
You will work across the full research stack: curating high-fidelity simulation datasets, designing and training novel model architectures, and rigorously evaluating them against real engineering validation standards.
Working closely with the broader research organization, you'll ensure the foundation models you build are general enough to become the backbone of many downstream products, not just a single point solution.
This role builds on a strong, world-class foundation, and the goal is to take it further. You'll work one vertical at a time toward foundation models that genuinely transfer and fine-tune across engineering tasks, with high-quality simulation data pipelines, physics-based evaluation, and uncertainty / out-of-distribution estimation as first-class concerns. There's no inherited playbook for most of what's left to do: you'll help define the architectures, training strategies, and validation standards the team builds on, not just extend an existing one.
WHAT YOU WILL DO
- Research and train novel foundation models for physics simulation, pushing past today's state of the art in accuracy, generalization, and scale
- Design and run large-scale simulation campaigns using domain-specific solvers to build the high-fidelity datasets foundational physics models need
- Investigate architectures and training strategies (e.g. multi-fidelity training, pretraining objectives, scaling behavior) that let a single foundation model transfer and fine-tune well across diverse engineering tasks
- Rigorously evaluate model coverage, accuracy, and robustness against industry validation standards, and diagnose failure modes arising from data gaps or architecture limitations
- Stay on top of the latest developments in the scientific community and contribute to Mistral's standing at the frontier of AI-for-engineering research
WHAT WE'RE LOOKING FOR
- PhD or Master's in CS/AI or an engineering science: Mechanical Engineering, Electrical Engineering, Computational Fluid Dynamics, Structural Mechanics, EDA, Semiconductor Engineering, or a related field
- Strong, hands-on machine learning expertise with a deep understanding of model architectures, training dynamics, and evaluation methodology is core to this role
- You have developed ML methods for simulation or surrogate modelling
- You write clean, readable Python code and are comfortable in Linux/HPC environments
- Fluent English with excellent communication skills, able to explain technical simulation and ML concepts to both engineering and non-technical audiences
- Self-directed, you don't need detailed roadmaps to make progress
- Low-ego, collaborative, and eager to learn at the intersection of simulation and ML
- Demonstrated success through industrial projects, academic work, or personal projects
IT WOULD BE GREAT IF YOU
- Have industrial or academic experience with simulation solvers (e.g. OpenFOAM, LS-DYNA, ANSYS, COMSOL, Abaqus, Fluent, STAR-CCM+, PowerFlow, NekRS, Tau/CODA, JAX-Fluids, or equivalent; Cadence/Synopsys/Siemens EDA or equivalent)
- Have experience automating large-scale simulation campaigns on HPC clusters
- Have contributed to a large open-source or industry codebase
- Have publications in engineering or ML venues (AIAA, ASME, JFM, NeurIPS, ICLR, etc.)
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Paris; Palo Alto; Amsterdam; Linz; Munich; London; Berlin
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE TEAM
You will join the AI4Engineering Science team, the Mistral research group that builds the data and evaluation infrastructure and owns the SFT/RL processes for AI4Engineering that teach our frontier LLMs to do real engineering work. The agentic engineering group works alongside the Physics AI research in the wider Science organisation.
This seat sits in the agentic CAD stream. Together with the Solutions and Applied teams, the group carries this work into customer projects with industrial partners in automotive, aerospace, semiconductors, and beyond.
THE ROLE
Mistral is looking for an AI Scientist with deep machine learning expertise and hands-on CAD experience to expand what our agentic tools can do for computer-aided design. Your focus is a single mission: teaching Mistral's LLMs to generate, analyze, and modify CAD designs the way an expert design engineer would.
Your core work is building the pre- and post-training data for Mistral's LLMs to reason about and execute real CAD tasks: text-to-CAD and image-to-CAD generation from technical drawings, geometric analysis and QA of CAD parts, and modification of existing designs. Because Mistral trains its own frontier LLMs, the data and verifiers you design ship directly into models you can hold - a rare position, and the core of the job.
Alongside this, you will help shape the agent architectures and harnesses that let these models operate reliably inside multi-step CAD workflows, driving CAD tools through APIs or computer use across the whole design loop.
This is early-stage work, and that's the point: you are joining at the foundation, shaping the data, verifiers, and agent scaffolding that decide whether these systems become reliable or stay demo-grade. There is no inherited playbook; you will help define what good looks like, and your work will set the direction the CAD stream builds on rather than extend an existing one.
WHAT YOU WILL DO
- Design pretraining, SFT, and RL data for CAD tasks: text-to-CAD and image-to-CAD generation from technical drawings, geometric analysis and QA of CAD parts, and design modification
- Define verifiers and evaluation criteria that capture what "correct" and "high-quality" actually mean for CAD tasks
- Scale the data pipelines that produce agentic CAD training traces
- Design and improve agent architectures and harnesses: how models plan, call CAD tools via API or computer use, recover from errors, and chain steps together across long-horizon design workflows
- Build and maintain CAD evaluation benchmarks and diagnostic tooling, from parametric CAD and drawing-to-3D benchmarks to industrial evaluations, identifying where models fail and tracing those failures back to gaps in data, reward design, or agent scaffolding
- Collaborate with CAD domain experts and the CAE and EDA streams (and the science and solutions teams more broadly) to identify which CAD workflows are highest-value to target next
- Contribute to Mistral's broader pre- and post-training research, sharing findings and methodology across the science organization
WHAT WE'RE LOOKING FOR
- Deep, hands-on machine learning expertise, particularly LLM development: you have built LLM training pipelines (SFT, RL, fine-tuning, GRPO), demonstrated in publications or shipped systems rather than CV claims
- Demonstrated hands-on CAD experience: you have designed, scripted, or automated real CAD workflows in tools such as SolidWorks, CATIA, Siemens NX, FreeCAD, or CADQuery, ideally with CAD-kernel grounding (OpenCASCADE, build123d)
- Fluent English with excellent communication skills: you can explain technical ML and CAD concepts to both engineering and non-technical audiences
- You write clean, readable Python code and are comfortable in Linux/HPC environments
- Self-directed: you do not need detailed roadmaps to make progress
- Low-ego, collaborative, and eager to learn at the intersection of CAD and ML
It would be great if you:
- Have experience building or fine-tuning agentic systems (tool use, multi-step planning, agent orchestration frameworks)
- Have experience with reward modeling, RLHF/RLAIF/RLVR, or preference-based training
- Have first-author publications or open-source benchmark work in agentic CAD or CAD-ML, such as CAD generation benchmarks or RL/GRPO fine-tuning of vision-language models for CAD
- Have contributed to a large open-source or industry codebase
- Have publications in engineering and ML venues (NeurIPS, ICLR, ICCV, SIGGRAPH, JFM, AIAA, etc.)
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The world's engineers want to get the most out of Claude. At Anthropic, technical instruction already happens everywhere: our Applied AI and Forward Deployed Engineering teams teach customers and partners, and engineers across the company help others learn to build with Claude. Today that instruction is a shared responsibility, delivered alongside people's primary roles. As demand grows, we need to turn that distributed expertise into a dedicated technical instruction function.
You will build that function.
You will be the first person at Anthropic whose full-time job is technical instruction. You'll spend your first year primarily in the classroom teaching engineers, architects, and other technical practitioners. You'll also build the people, standards, and systems that let Anthropic's technical instruction scale far beyond the people we directly employ.
This is a player-coach role. From day one you manage a small bench of instructors. You set the bar for what "ready to teach" means, decide who is cleared to teach a given module in Anthropic's technical programs, and assess facilitators from our training partners against that bar.
You're an engineer who teaches and a teacher who has led other teachers. You can build an agent live in front of a skeptical engineer, diagnose what isn't working in a technical lab, and make the material better. You can also watch an experienced instructor teach, tell them their session isn't ready yet, and coach them to get there.
You will report to the Head of Technical Enablement. The role is based in San Francisco with some travel expected.
Key responsibilities
Lead from the front.
Teach hands-on sessions to new Applied AI engineers, our field teams, and partner cohorts, in rooms from 12-person labs to 100-person training days.
Build the instructor bench.
Hire and develop instructors and curriculum developers. Decide contract renewals, and recommend conversions to full-time, against criteria you define.
Set the quality bar.
Own the observation rubric, dry-run protocol, and cleared-to-teach process for every instructor-led technical session.
Scale through train-the-trainer.
Set the bar the Lead Technical Instructor's train-the-trainer program teaches to, for internal experts, contract instructors, and partner facilitators.
Turn expertise into instruction.
Turn internal experts' content into sessions and labs that work in a live room.
Enable programs without owning them.
Staff other teams' programs with cleared instructors, and own the quality of instruction inside them.
Measure and improve.
Report learner pass rates per instructor each month, and act on them.
Minimum qualifications
8+ years of relevant professional experience
across software engineering, solutions engineering, developer advocacy, technical education, or related technical roles.
4+ years of hands-on technical instruction.
You have taught engineers live and hands-on, across audience sizes.
Production engineering.
You have written and shipped production software and engage credibly with experienced engineers on architecture and debugging.
Recent hands-on AI development.
In your last three years of work, you have built or debugged applications with LLM APIs, agent frameworks, tool use, MCP, or similar.
People leadership.
You have managed instructors, trainers, developer advocates, or solutions engineers, including hiring and performance management, and kept teaching.
Instructor development.
You have designed or run a train-the-trainer program, instructor certification, or observation framework.
San Francisco location.
You are based in San Francisco or willing to relocate with our relocation support, can be in the office every day a program runs, 3 days in a normal week, and can travel 25 to 30 percent.
Preferred qualifications
A portfolio of sessions you taught and a rubric or certification you designed, shared only if you have the right.
Experience building an instruction or developer-education function from scratch.
Experience managing a contractor instructor bench, or clearing instructors across regions from recordings or trained observers.
Daily use of Claude Code or a comparable agentic coding tool, or building on Claude through Amazon Bedrock, Google Vertex AI, or Microsoft Foundry.
Deep enthusiasm for AI and real care about building it responsibly.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$365,000
—
$435,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
УдалённоПротиворечивые условия: Remote, outside Russia and Belarus; Time zone:; Transparent Hiring is a one-stop recruitment and relocation agency for IT and digital professionals looking to work and relocate in Germany and other European countries; Background in recruitment, HR, relocation, career or other expert-driven industries
ОфисAlmaty, Kazakhstan
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ОфисCoordinate across time zones with HQ, APAC Partnerships, and regional teams; Comfortable working across APAC and HQ time zones and in a fast-paced environment where priorities shift
ГибридRelocation: Relocation assistance for employees moving to the Bay Area
ОфисAlmaty, Kazakhstan; Relocation support to Almaty for candidates moving from another city or country
ОфисAlmaty, Kazakhstan; Relocation support to Almaty for candidates moving from another city or country
Paris; London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
ГибридMetro Manila; Bangkok; Kazakhstan; 📍 Manila, Philippines | Relocation required; RELOCATION AND FAMILY SUPPORT; Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics; Reimbursement of eligible pet relocation expenses
ОфисLimassol, Cyprus; EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family; Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free
ОфисAlmaty, Kazakhstan; Relocation support to Almaty for candidates moving from another city or country
ES - Barcelona, Spain; We can support with visa sponsorship and relocation support
Paris; Amsterdam; Linz; Munich; London; Berlin; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
ГибридParis; Palo Alto; Amsterdam; Linz; Munich; London; Berlin; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
headSan Francisco, CA; You are based in San Francisco or willing to relocate with our relocation support, can be in the office every day a program runs, 3 days in a normal week, and can travel 25 to 30 percent