Location: San Francisco, CA, USA
About the Role
Chime’s Data Science and Machine Learning team is building models, services, and platforms that transform how millions of users manage and grow their financial lives. We are looking for a hands-on Tech Lead Manager with deep technical expertise in machine learning and data science, particularly within the Growth and Marketing domain. Beyond technical proficiency, we value creativity, user empathy, and strong collaboration.
As a Tech Lead Manager within our Growth and Marketing team, you will lead a talented group of data scientists and machine learning engineers to develop innovative growth and marketing models. These models will provide critical insights into acquiring, retaining and growing Chime members, broaden access to credit, and ensure financial inclusivity. You will play a pivotal role in creating innovative, ground-up products while driving the development of cutting-edge acquisition and retention models and solutions. If you are passionate about marketing, growth, customer acquisition and retention models, this role could be a great fit for you.
In this role, you can expect to
Lead and inspire a high-performing team of data scientists and ML engineers, ensuring the successful development and deployment of machine learning solutions for customer acquisition, conversion and retention.
Drive strategic direction for ML initiatives in marketing, engagement, and growth by identifying opportunities where AI/ML can optimize our customer funnel.
Oversee the end-to-end development of machine learning models such as lifetime value prediction, churn risk modeling, customer segmentation, marketing attribution, referral recommendations, and personalized communications.
Collaborate cross-functionally with marketing, product, growth, and engineering teams to align machine learning initiatives with business objectives.
Leverage transactional and behavioral data to enhance customer targeting, optimize acquisition spend, and improve retention strategies.
Establish ML best practices, including model development, validation, deployment, and monitoring, ensuring scalability and business impact.
Advocate for a data-driven culture, partnering with business leaders to drive strategic decisions through experimentation and predictive analytics.
Stay ahead of industry trends, bringing cutting-edge AI/ML techniques into our marketing and growth strategies.
To thrive in this role, you have
7+ years of experience developing machine learning models for marketing and growth, from inception to production, with a focus on customer acquisition, engagement, and retention.
5+ years of experience leading data science teams, with a proven track record of mentoring, coaching, and driving impactful machine learning solutions.
Strong expertise in marketing and growth analytics, including experience with customer segmentation, LTV modeling, churn prediction, referral systems, and multi-touch attribution.
Deep understanding of AI/ML techniques, including classification, clustering, reinforcement learning, optimization, deep learning, and NLP for customer engagement.
Hands-on experience deploying machine learning models in real-world production environments, integrating with marketing tech stacks and growth platforms.
Strong product intuition with the ability to work iteratively in a fast-paced, cross-functional environment.
M.S. or Ph.D. in Machine Learning, Computer Science, Statistics, or a related STEM field.
Proficiency in Python and SQL, with experience in building ML pipelines and wrangling large-scale data.
Experience with modern ML and data engineering technologies, such as AWS, Kafka, Airflow, Redis, MySQL, Postgres, Spark, Snowflake, Looker.
Exceptional communication and stakeholder management skills, with the ability to partner effectively with marketing, growth, product, and engineering teams.
#LI-DA1 #LI-Onsite
Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
Wage Notice
$199,000
—
$275,000 USD
A little about us
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.
We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.
We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.
Because if we don't—who will?
*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.
What we offer for our full-time, regular employees
🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location.
💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.
✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.
🏝 Generous vacation policy and company-wide paid days off
🫂 1% of your time off to support local community organizations of your choice
👟 Annual wellness stipend to use towards eligible wellness related expenses
👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
👪 Access to family planning reimbursement
💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress
We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.
Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact:
accommodations@chime.com
.
To learn more about how Chime collects and uses your personal information during the application process, please see the
Chime Applicant Privacy Notice
.
Location: London, United Kingdom
Workplace: hybrid
Role
We are looking for a commercially minded
Senior FP&A Analyst
to join our growing Finance team, based in London. Reporting to the Head of FP&A, you will play a key role in building out our FP&A function as Sokin continues to scale globally, helping shape the processes, models, systems and reporting the business relies on to plan and make decisions.
This is a broad, hands-on role spanning budgeting and forecasting, management reporting, headcount and cost planning, performance analysis and financial modelling across multiple regions.
You will work closely with regional and functional stakeholders to build robust forecasts, consolidate plans into a Group view and provide clear insight into the drivers of financial performance. Alongside the core FP&A cycle, you will apply your strong automation and AI skills to help develop our systems and Finance data infrastructure to create more scalable and efficient ways of working.
This role is ideal for someone who is proactive, curious and eager to get stuck in. You will be comfortable getting into the detail, asking the right questions and constructively challenging assumptions and existing processes. You will have a genuine appetite to improve how things are done and help shape a scaling FP&A function.
About Us
Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business - so businesses thrive wherever they choose to grow.
We deliver services across:
Global payments and receivables
Foreign Exchange (FX)
Treasury management
Finance reconciliations
We are rapidly expanding, with established presence in EMEA, APAC, and North America. Backed by a strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide.
Our clients span industries from sports and entertainment to logistics and travel, and our community is growing rapidly. As we continue to expand, we’re building a team of exceptional people who share our ambition to transform the future of global payments.
Key Responsibilities
Budgeting, Forecasting & Planning
Support the end-to-end Group annual budgeting process across multiple regions, functions and business lines.
Build and maintain bottom-up budgets and forecasts in partnership with regional and functional stakeholders, ensuring assumptions are robust, realistic and aligned to business priorities.
Maintain and enhance rolling forecasts, reforecasts and long-range planning models.
Consolidate regional and functional budgets and forecasts into a Group view, identifying key movements, risks and opportunities.
Own detailed headcount, compensation and operating expense planning, partnering with the business and People team to maintain accurate forecasts.
Build scenario and sensitivity analysis to help assess risks, opportunities and investment decisions.
Drive consistent planning assumptions and timelines across regions and functions, proactively following up with stakeholders to keep submissions on track.
Reporting & Performance Management
Produce and enhance monthly Group management reporting, dashboards and KPI reporting for senior leadership at a global and regional level.
Provide clear commentary on variances to budget and forecast, explaining the underlying drivers and highlighting actionable insights.
Perform cross-region and cross-functional performance analysis, identifying trends, risks and opportunities.
Give leadership teams clear visibility of spend, headcount, revenue performance, profitability and operational efficiency.
Support the definition and ongoing development of meaningful KPIs, financial metrics and reporting frameworks as the business scales.
Support the Head of FP&A with analysis and materials for senior leadership, Board and investor reporting.
Building the FP&A Function
Develop and improve scalable FP&A processes, tools and systems, proactively identifying opportunities to support growth and efficiency.
Own and continually improve elements of the planning calendar and reporting cadence, improving how FP&A works with the business.
Support the implementation and ongoing ownership of FP&A systems and planning tools.
Design and deliver automation, AI use cases and Finance data capabilities to reduce manual work and improve the speed and quality of insight.
Drive improvements in the quality and consistency of finance, customer and transactional data, working across Finance and the wider business to identify and resolve gaps, errors and inconsistencies at source.
Business Partnering
Partner with regional and functional stakeholders to understand their plans, cost base and financial performance.
Work closely with Accounting to ensure alignment between management reporting, forecasts and actuals.
Collaborate with People teams and business leaders on workforce planning and headcount modelling.
Build strong relationships across the business, proactively getting into the detail where needed to drive financial discipline and commercial awareness.
What Success Looks Like
Success in this role means becoming a trusted, proactive member of the FP&A team who helps build the foundations of a scalable, high-impact FP&A function, independently owning core analysis and processes while continually improving how Finance supports the business.
In your first 12 months, you will have:
Driven clear improvements in the quality of finance, customer and transactional data, making reporting faster, more reliable and less manual.
Improved visibility of financial performance through stronger Group reporting, dashboards, KPI tracking and cross-region analysis.
Built strong relationships with budget owners and become a trusted Finance partner across the business.
Improved the accuracy and visibility of headcount and operating cost forecasts and supported better decisions through high-quality financial analysis.
Help put in place the processes, systems, data and automation that allow the FP&A function to scale with the business.
Requirements
Qualified accountant (ACA, ACCA, CIMA or equivalent international qualification), ideally with 2-3 years post-qualified experience (PQE).
Relevant FP&A, commercial finance or financial analysis experience, ideally within a high-growth fintech, payments, SaaS or technology environment but this is not mandatory.
Experience building and maintaining bottom-up budgets and forecasts across functions, geographies or business units.
Strong financial modelling skills, with the ability to build clear, robust and scalable models from first principles.
Experience working in or supporting a global or multi-region organisation, with an understanding of regional cost drivers and planning complexity.
Strong commercial acumen and analytical skills, with the curiosity to understand the story behind the numbers and connect financial performance to business outcomes.
Proactive and confident communicator who is willing to ask questions, challenge assumptions constructively and suggest improvements.
Comfortable operating in a fast-paced, evolving environment with a hands-on approach and strong sense of ownership.
Advanced Excel skills as well as experience with FP&A, ERP, BI or data visualisation tools.
Strong capability in automation and AI, with a track record of applying them to improve Finance processes, and a genuine appetite to help build out a scaling FP&A function.
Strong attention to detail and able to manage competing priorities.
Sokin has grown 9x in three years, from $14M to $90M in run-rate net revenue, and we're on track to pass $120M by the end of 2026. We're doubling year over year, with just $12M in net cash burn and a growing US and Canada team of 50+.
The momentum is real and the next chapter is yours to shape.
Ready to grow with us?
Apply today
Please note, candidates will need to have the right to work in the jurisdiction that they are looking to work in.
The main responsibilities of this role are outlined above; however, this description is not exhaustive, and the job holder may be required to undertake additional duties from time to time to ensure the smooth running of the department. The role may require some working outside our normal working hours.
Location: United States; New York; San Francisco
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
We are seeking an experienced Commercial Counsel to join our US commercial team. In this role, you will support complex commercial transactions across North America, including SaaS, licensing, and strategic partnerships, while helping the company navigate diverse legal and regulatory frameworks in the rapidly evolving field of artificial intelligence. You will work closely with global colleagues to provide practical, business-oriented advice that enables growth while managing risk across multiple jurisdictions.
RESPONSIBILITIES
- Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in North America, including enterprise customer contracts
- Partner with sales, business development, and operations teams to design and implement strategies that support high-growth go-to-market initiatives.
- Monitor and interpret evolving legal and regulatory developments, including data protection, technology, and AI-related frameworks, and apply this knowledge to contract drafting and risk assessment.
- Develop, maintain, and localize contract templates, playbooks, and policies to reflect regional requirements and industry best practices.
- Provide clear, pragmatic, and commercially focused legal advice to cross-functional teams, tailoring advice to enable responsible growth and innovation.
- Contribute to scaling the Legal Team’s commercial function, fostering a collaborative, solutions-oriented team culture.
WHO YOU ARE
- Curious about the future of AI and emerging technologies, have a strong sense of ownership with enthusiasm for applying your legal expertise to cutting-edge products.
- Experienced in navigating fast-paced, high-growth environments, with the ability to manage ambiguity and make informed, timely decisions.
- Comfortable working independently while collaborating effectively with cross-functional and global colleagues.
- Proactive, business-minded, and committed to delivering practical solutions that support both compliance and commercial success.
WHAT YOU BRING
- J.D. and active membership in at least one U.S. State Bar (NY or CA preferred)
- 6+ years of relevant post-qualification legal experience (in-house experience in technology or SaaS strongly preferred).
- Proven track record drafting and negotiating complex commercial and technology agreements.
- Strong knowledge of enterprise software licensing, SaaS, data protection, and intellectual property.
- Experience advising on privacy, cybersecurity, and cross-border data transfer issues.
- Excellent communication, stakeholder management, and problem-solving skills.
- Comfort in fast-paced environments with shifting priorities and tight deadlines
- Prior experience with heavily regulated industries is a plus
LOCATION
This role is remote and can be executed in the United States, with a preference for New York or San Francisco.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Bulgaria; Croatia; Cyprus; Estonia; Finland; Greece; Hungary; Ireland; Latvia; Lithuania; Malta; Moldova; Montenegro; North Macedonia; Poland; Romania; Slovakia; Slovenia; Sweden; Ukraine
Why Kimchi?
Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters and now we're providing a managed variant of those same capabilities.
Our Infrastructure today
Multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API and deployment ranging from our GPUs to your own VPC. The inference layer is the foundation and the API is what sits in front of it as the primary channel for broadly and reliably distributing our AI services and powers our own Kimchi harness.
As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. All of these are high-agency roles across multiple parts of the tech stack that minimize process friction that would otherwise prevent you from shipping.
In every team you will own features end-to-end: design, implementation, testing, production rollout. Most projects ship in 1-4 weeks. You'll work directly with product and other engineering teams on problems that don't have textbook solutions.
We are currently hiring
Senior Software Engineers
for the following teams
Agent Platform Team:
The Agent Platform squad builds the infrastructure that lets teams run fleets of AI agents securely, whether in the cloud or self-hosted, so work can move confidently from a developer's laptop to production environments. The platform enforces least-privilege access to resources, requires human approval before agents can touch anything critical, and logs every action agents take for full auditability. The goal is to give engineering and operations teams the confidence to scale up agent usage without sacrificing security, control, or visibility into what their agents are actually doing.
Responsibilities:
Design and build distributed systems that run agent fleets at scale across cloud and self-hosted environments, with security at its core
Make every agent action observable, auditable, and governable
Develop a remote-first experience of working with agents
Requirements
Production experience with Go or Typescript is strongly preferred; candidates without either should demonstrate strong systems programming skills in a comparable language.
Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage.
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes is a strong plus
Observability tooling (Prometheus, Grafana, OpenTelemetry), CI/CD and DevOps practices experience.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Strong English skills, both verbal and written.
You've personally driven a complex project end-to-end.
(Agent Platform) Experience in virtualization, networking, security, and Kubernetes internals is a strong plus
What’s in it for you?
Competitive salary (€6,500 - €9,000 gross, depending on the level of experience).
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Bulgaria; Croatia; Cyprus; Estonia; Finland; Greece; Hungary; Ireland; Latvia; Lithuania; Malta; Moldova; Montenegro; North Macedonia; Poland; Romania; Slovakia; Slovenia; Sweden; Ukraine
Why Kimchi?
Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters and now we're providing a managed variant of those same capabilities.
Our Infrastructure today
Multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API and deployment ranging from our GPUs to your own VPC. The inference layer is the foundation and the API is what sits in front of it as the primary channel for broadly and reliably distributing our AI services and powers our own Kimchi harness.
As a Senior Software Engineer, you will have the opportunity to work on different key features of our product. All of these are high-agency roles across multiple parts of the tech stack that minimize process friction that would otherwise prevent you from shipping.
In every team you will own features end-to-end: design, implementation, testing, production rollout. Most projects ship in 1-4 weeks. You'll work directly with product and other engineering teams on problems that don't have textbook solutions.
We are currently hiring
Senior Software Engineers
for the
Harness team
:
OpenAI and Anthropic ship models. They also ship one harness each – the scaffolding that turns a raw model into something that can plan, execute, recover, and complete work. We ship a different kind of harness: one built for cost-conscious, long-horizon autonomy, running on inference infrastructure we control end-to-end.
A decent model with a great harness beats a great model with a bad harness. We've watched this play out. The gap between what today's models can do and what you see them doing is largely a harness gap – and that gap is where we operate.
Responsibilities:
Architect planner/executor/evaluator pipelines – planning with a reasoning model, execution with a fast one, evaluation with a third. No self-verification.
Manage agent memory and context – state persistence across sessions, context compaction, tool-call offloading
Own the harness surface - TUI, MCP integrations, telemetry.
Work directly with users - including our own colleagues - to identify, understand and fix pain points
Requirements
Production experience with Go or Typescript is strongly preferred; candidates without either should demonstrate strong systems programming skills in a comparable language.
Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage.
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes is a strong plus
Observability tooling (Prometheus, Grafana, OpenTelemetry), CI/CD and DevOps practices experience.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Strong English skills, both verbal and written.
You've personally driven a complex project end-to-end.
(Harness) Experience on working with harnesses and creating your own AI workflows is a strong plus
What’s in it for you?
Competitive salary (€6,500 - €9,000 gross, depending on the level of experience).
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Bulgaria; Croatia; Cyprus; Estonia; Finland; Greece; Hungary; Ireland; Latvia; Lithuania; Malta; Moldova; Montenegro; North Macedonia; Poland; Romania; Slovakia; Slovenia; Sweden; Ukraine
Why Kimchi?
Kimchi is the AI platform inside CAST AI. We started by helping companies run LLMs on their own Kubernetes clusters and now we're providing a managed variant of those same capabilities.
Our Infrastructure today
Multi-model inference (MiniMax, Kimi, GLM-5, Nemotron, DeepSeek) with intelligent routing, an OpenAI-compatible API and deployment ranging from our GPUs to your own VPC. The inference layer is the foundation and the API is what sits in front of it as the primary channel for broadly and reliably distributing our AI services and powers our own Kimchi harness.
As a
Senior Software Engineer
, you will have the opportunity to work on different key features of our product. All of these are high-agency roles across multiple parts of the tech stack that minimize process friction that would otherwise prevent you from shipping.
In every team you will own features end-to-end: design, implementation, testing, production rollout. Most projects ship in 1-4 weeks. You'll work directly with product and other engineering teams on problems that don't have textbook solutions.
We are currently hiring
Senior Software Engineers
for the
API Platform Team
:
Owns the inference API responsible for delivering our AI services across the world while making sure it's reliable and capable to scale in tandem with our company's growing ambitions, as well as our analytical platform, billing and role-based controls that enable our users to monitor and control their usage with ease - be it as a solo developer or a large enterprise. You'll own our infrastructure, datastores, analytics, observability and CI/CD pipeline.
Responsibilities:
Develop with observability in mind, identify bottlenecks and optimize for performance. When p99 latency climbs, you find the cause through query profiles and flame graphs instead of raising the alert threshold.
Design the datastores and distributed systems behind the inference API, and keep them reliable as usage scales from a solo developer to a large enterprise.
Build the billing, usage metering, and role-based controls that let users monitor and govern their own consumption. Catch correctness problems where a wrong number costs you trust.
Requirements
Production experience with Go or Typescript is strongly preferred; candidates without either should demonstrate strong systems programming skills in a comparable language.
Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage.
Hands-on experience with cloud platforms (AWS, GCP, or Azure) and Kubernetes is a strong plus
Observability tooling (Prometheus, Grafana, OpenTelemetry), CI/CD and DevOps practices experience.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Strong English skills, both verbal and written.
You've personally driven a complex project end-to-end.
What’s in it for you?
Competitive salary (€6,500 - €9,000 gross, depending on the level of experience).
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: New York, New York; Manhattan, New York; Brooklyn, New York; Trenton, New Jersey; Yonkers, New york; New York City Metropolitan Area; Newark, New Jersey
Workplace: remote
Provectus is an AI consultancy founded in 2010 and led by its founders. As an AWS Premier Partner and an Anthropic Preferred Partner, we help Financial Services & Insurance and Healthcare & Life Sciences companies design, build, and operate production AI systems. With offices across North America, LATAM, and EMEA, we work with clients worldwide.
We are hiring an Account Executive to turn incoming enterprise leads into signed consulting engagements. Clients buy multi-month consulting engagements. You won't build pipeline from scratch. Anthropic and AWS share qualified enterprise leads with us.
Your job has four parts:
Qualify those leads quickly.
Run discovery with buyers at banks, insurers and life sciences companies.
Scope the work with our architects.
Close.
What you'll do:
Pick up new leads as they arrive, decide which to pursue, and be able to explain why.
Run discovery calls with business and technology leaders. Map their process, data, regulatory constraints, budget and decision path.
Work with delivery leads and architects to scope proposals and SOWs that we can deliver. You are selling consulting engagements, not software licenses.
Negotiate and close to a signed SOW, with the Chief Commercial Officer joining larger deals.
Run the full sales cycle: discovery, solution scoping, proposal, negotiation, close.
Translate Anthropic's product roadmap and partnership incentives into the client propositions.
Keep Anthropic and AWS partner reps informed on the leads they share, and take part in joint pipeline reviews.
Keep the CRM current and forecast your deals accurately.
Bring buyer objections and patterns from each industry back to leadership and marketing.
Travel for client meetings, up to 30% of your time.
What You Need to Succeed:
2–4 years in a client-facing commercial role in a consulting or IT services firm where you closed deals yourself, such as account executive, account manager, or consultant who owned client sales. Be ready to share the specifics: what you closed, at what size, and how long each deal took.
OR experience with banks, insurers, or pharma/biotech companies in one of these roles: selling services or technology to them (including smaller deals you closed yourself or larger deals where you supported the lead); working on client projects at a consulting firm, including proposals or scoping; or working inside one of these companies on projects where you helped evaluate and select outside vendors.
Working knowledge of Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech). You have worked in the industry or sold into it, and you can discuss a buyer's process and regulatory constraints in their terms.
Experience selling services engagements or complex B2B deals with several stakeholders.
Clear written and spoken communication with director-, VP- and C-level buyers.
Comfort handling a steady volume of leads and choosing where to spend your time.
Strong plus
Experience selling AI/ML, data or cloud services.
Experience working partner-referred leads from Anthropic, AWS, GCP or Azure.
About Provectus:
Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI and data-driven innovation organization-wide in such industries as Financial Services, Insurance, Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, and Manufacturing.
We are recognized by industry analysts as a leading provider of AI solutions across key business domains.
At Provectus, we value innovation, ownership, and collaboration — and we are looking for people who want to grow with us and make an impact.
Why Join Us:
Leads arrive every day, so your time goes into closing rather than prospecting.
You learn enterprise AI consulting sales in two regulated industries.
You close with support: our architects scope the work with you, and the Chief Commercial Officer joins larger negotiations.
The delivery team can execute what you sell: 350+ people, 150+ certified architects, and 100+ customers in production.
Work at the intersection of two AI partnerships: Anthropic and AWS.
High-impact role with direct visibility to leadership.
Compensation and benefits
Base $90–120K + commission, OTE range $140–170K. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data.
B2B contract model or full-time model.
Unlimited vacation policy.
Generous health, vision, and dental insurance, and life insurance.
401(k) matching plan.
Location: Sydney, Australia; Melbourne, Australia
Workplace: hybrid
Business Development Manager - Australia
Role
As, a Business Development Manager at Sokin, you will act as the initial point of contact for prospective corporate clients across the mid-market and enterprise segments. You will be responsible for sourcing, qualifying, and engaging high-value opportunities, building a strong pipeline that supports long-term client relationships.
This is a high-impact commercial role designed for an ambitious individual looking to develop into a future sales leader. You will gain strong exposure to SOKIN’s suite of solutions — including global payments and receivables, FX, and treasury management — and work closely with sophisticated businesses to support their cross-border financial needs. You will be equipped with best-in-class tools, and a proven sales playbook to enable success.
About Us
Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business - so businesses thrive wherever they choose to grow.
We deliver services across:
Global payments and receivables
Foreign Exchange (FX)
Treasury management
Finance reconciliations
We are rapidly expanding, with established presence in EMEA, APAC, and North America. Backed by a strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide.
Our clients span industries from sports and entertainment to logistics and travel, and our community is growing rapidly. As we continue to expand, we’re building a team of exceptional people who share our ambition to transform the future of global payments.
Key Responsibilities
· Proactively identify, research, and develop new business opportunities across the mid-market and enterprise segments through LinkedIn, CRM intelligence, partner referrals, targeted outbound prospecting, and other channels.
· Conduct structured qualification by evaluating client needs, treasury requirements, FX exposure, and complexities across international payments and cross-border receivables.
· Lead initial engagement with senior stakeholders and decision-makers, leveraging a multi-channel approach across email, phone, LinkedIn, and strategic social outreach.
· Secure and coordinate high-value discovery calls and commercial meetings, ensuring opportunities are well-qualified and positioned for progression through the sales pipeline.
· Collaborate closely with internal stakeholders — including Marketing, Compliance, Product, and Client Onboarding — to drive seamless opportunity conversion and an exceptional prospect experience.
· Maintain accurate, timely, and commercially relevant documentation of all activity, pipeline status, and prospect insights within the CRM, ensuring visibility and reporting integrity.
· Support the planning and execution of outbound campaigns and targeted go-to-market initiatives across assigned sectors, regions, or strategic verticals.
· Consistently deliver against performance objectives, including weekly activity benchmarks and monthly qualified opportunity targets, contributing to overall revenue growth and pipeline health.
· Build commercial knowledge across international markets, enterprise sales methodology, FX and treasury solutions, while leveraging ongoing development opportunities within SOKIN’s broader commercial organisation
Requirements
· 6+ years of proven enterprise sales experience, with a strong track record of managing complex, high-value deals and long sales cycles across senior stakeholder groups.
· Recognised champion and advocate within their specialist field, demonstrating deep market expertise, thought leadership, and the ability to influence customers and internal teams.
· Strong ability to conduct high-quality discovery and structured qualification, uncovering commercial priorities, operational pain points, and treasury requirements to position solutions effectively.
· Excellent written and verbal communication skills, with the ability to deliver clear, compelling, and value-driven messaging tailored to finance leaders and decision-makers (CFO, FD, Treasurer, Head of Finance).
· Commercially sharp, with strong business acumen and the ability to prioritise opportunities based on value, urgency, and strategic fit.
· Naturally curious and coachable, with a growth mindset and commitment to developing into a trusted advisor for clients and internal stakeholders.
· Highly organised and detail-oriented, with strong CRM discipline and a structured approach to pipeline management, forecasting, and reporting.
· Tech-savvy and confident using modern sales tools and CRM systems (Zoho experience is an advantage).
Please note, candidates will need to have the right to work in the jurisdiction that they are looking to work in.
We are an equal opportunities employer committed to creating an inclusive work environment. As a growing global startup, we value agility and flexibility in our working culture. If you require any accommodations during the recruitment process, please let us know.
Location: Oklahoma, United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
DC Facilities Engineer
Independently operates, maintains, troubleshoots, and takes end-to-end ownership of critical power, critical cooling, liquid cooling, and DCIM/BMS infrastructure systems; participates in incident management and commissioning activities; and mentors Associate DC Facilities Engineers.
Role Overview
The DC Facilities Engineer is a critical role within Nebius data center operations. A fully proficient DC Facilities Engineer who independently manages and troubleshoots critical power and critical cooling systems across the site and takes ownership of assigned engineering tasks from start to finish. Participates in incident management activities, supports site commissioning and build reviews, and contributes to ensuring all engineering work meets Nebius SLAs and standards. Enforces safe working practices, collaborates with facilities, network, and technician teams, and mentors Associate DC Facilities Engineers toward independent operation.
Core Responsibilities
Monitor and contribute to the tracking of critical environment maintenance and repair for assigned service lines to Nebius SLAs; identify and escalate developing faults before they impact service uptime.
Independently operate, monitor, and troubleshoot critical power distribution infrastructure including UPS systems, PDUs, RPPs, and in-rack busbar power systems.
Manage and maintain critical cooling infrastructure including CRAHs, CRACs, CDUs, and RDHx; perform capacity checks and leakage inspections.
Participate in incident management for infrastructure-impacting events; support root-cause analyses, document findings, and contribute to CAPA execution under the direction of the Senior DC Facilities Engineer.
Operate and administer DCIM and BMS platforms; build and maintain dashboards, alerts, capacity reports, and infrastructure records.
Support deployment and commissioning of GB-scale liquid-cooled rack infrastructure including direct liquid cooling (DLC) systems, manifolds, and CDU connections.
Perform and own preventive maintenance tasks for all critical power and critical cooling systems; maintain accurate maintenance logs and compliance records.
Participate in site reviews, design reviews, and commissioning activities; prepare and review technical reports to document findings and communicate results.
Enforce Nebius critical power and critical cooling safety procedures; act as safety lead for engineering work orders on live infrastructure.
Collaborate with facilities, network, and technician teams on infrastructure changes, capacity expansions, and major deployments.
Support adherence to Nebius standards and policies through documentation review and active participation in commissioning and design activities.
Contribute to vendor and contractor coordination by supporting scheduling, site access, and execution of work per Nebius expectations and safe-working practices.
Actively mentors and trains Associate DC Facilities Engineers; guides them through systems operation, safe working practices, and structured skill development toward independent operation.
Expected Capabilities / Expectations
Working proficiency across all critical power systems: UPS, PDU, RPP, in-rack busbar, and generator interfacing.
Hands-on experience with critical cooling systems: CRAH/CRAC, CDU, RDHx, and water-side infrastructure including leak detection.
Competent DCIM/BMS administration: alert management, capacity modeling, and dashboard reporting.
Developing knowledge of GB rack liquid cooling technology, DLC manifolds, and heat rejection infrastructure.
U.S. Data Center Career Framework - Technical Career Framework
Ability to participate in and support incident management activities including RCA and CAPA documentation.
Strong documentation discipline: change records, maintenance logs, capacity data, and incident write-ups.
Clear and confident communication with facilities, network, and vendor teams during changes and incidents.
Core Physical Requirements
Ability to stand and remain on your feet for extended periods, typically four or more consecutive hours during active shift operations.
Ability to safely lift, carry, and position equipment weighing up to 50 pounds unassisted, and heavier loads with appropriate team-lift protocols or mechanical aids.
Comfortable working at heights including ascending and descending ladders, raised platform equipment, and elevated data center
infrastructure.
Ability to work in confined spaces such as under raised floors, within enclosed rack enclosures, and in cable management pathways.
Comfortable working in environments with variable temperatures, including cold aisle containment zones and active cooling infrastructure.
Manual dexterity sufficient to handle small form-factor components, precision cabling, and fine connector installations.
Visual acuity sufficient to read equipment labels, small-form-factor interface indicators, and detailed wiring diagrams in variable lighting conditions.
Ability to push or pull equipment carts, server sleds, and wheeled infrastructure weighing up to 500 pounds on level surfaces.
On-Call Requirement
This role includes on-call participation to respond to after-hours critical power and critical cooling events, infrastructure alarms, and urgent maintenance requiring prompt engineering response.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$49
—
$54 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Lisbon, Portugal; Porto, Portugal
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
We are looking for a hands-on Engineering Manager to lead a team building core internal infrastructure and developer-facing systems. This role sits at the intersection of project management, engineering leadership, and platform development. The team (Evaluation Engines / Data processing engines) owns foundational components which are embedded into higher level workflow engines and tools. Examples are formula evaluation, data transformation according to predefined mapping, decision models, etc.
The team is technically strong and highly autonomous. We are looking for an Engineering Manager who can operate effectively in this environment: someone with a strong engineering background who understands complex systems, but does not need to be the deepest technical expert in every area.
Your role will be to help experienced engineers work effectively together, create clarity across interconnected initiatives, and improve how the team plans, collaborates, and delivers.
What You’ll Do
Lead a strong engineering team
You will manage and develop experienced engineers with significant ownership of their technical domains. The team is mostly Rust engineers, however they also build libraries for several other programming languages: Go, Ruby, Java, Python, and WASM.
You will be responsible for regular 1:1s, feedback, performance management, career development, hiring, onboarding, and team health.
We expect you to create an environment where engineers can remain highly autonomous while having clear priorities, ownership, and accountability. You will be responsible for team capacity planning and hiring when needed.
Build strong product
You will be working closely with Product Managers and department VP to define how the products look, what to build and in which order, what new exciting features we can bring to our customers. As this area is highly technical and speaks Computer Science terms at times, Product Managers will greatly rely on your and your team expertise to make decisions.
You will be responsible for working with Quality Engineering and Product Security teams to deliver high-quality products. At the same time in this AI era we expect you to embrace new tools to shift quality and security scans left.
Drive planning and execution
The team owns several interconnected technical areas, often developed across separate repositories and involving dependencies between engineers and projects.
You will:
Own planning and operational execution across multiple engineering workstreams.
Create visibility into priorities, dependencies, timelines, and resource allocation.
Help the team turn broad technical direction into an executable roadmap.
Identify and remove blockers before they significantly impact delivery.
Balance new development, customer commitments, operational work, and technical debt.
Define meaningful engineering metrics and use them to identify opportunities for improvement.
Keep stakeholders informed about progress, risks, and trade-offs.
Plan release and update cycles of the product.
Maintain the product, be responsible for defects triaging and mitigation.
Stay close to technology
This is strictly not a purely people-management role. Technical background and experience is a must.
We don't expect you to be a fluent Rust developer, we in fact are not expecting you to know Rust at all. But you should be comfortable participating in technical discussions, reviewing designs and architecture proposals, understanding engineering trade-offs, and challenging assumptions when needed. You should have a wide industry knowledge, and understand the pros and cons of different programming languages and platforms.
Depending on your background and interests, you may also review code, contribute to tooling or prototypes, participate in incident investigation, or use automation and AI-assisted development to improve engineering workflows.
At the same time, we do not expect the Engineering Manager to make every technical decision. Senior engineers (your team will contain a mix of engineers up to Staff and Architect levels) own significant parts of the technical direction, and a key part of the role is enabling them to do that effectively.
What We’re Looking For
We are looking for someone with:
Significant software engineering experience before or alongside engineering management.
Experience managing senior, autonomous engineers.
A strong background in platform engineering, developer infrastructure, developer productivity, backend infrastructure, or distributed systems.
Experience with CI/CD, release engineering, developer tooling, or internal engineering platforms.
Experience owning roadmaps and delivering multi-quarter engineering initiatives.
Strong understanding of software development lifecycle and engineering practices.
Experience managing technical debt alongside product and business priorities.
Ability to understand complex technical discussions without needing to personally own every implementation decision.
Strong stakeholder management and cross-functional communication skills.
Experience hiring, coaching, and developing engineers.
A pragmatic approach to engineering processes: enough structure to make teams effective, without unnecessary bureaucracy.
What Makes Someone Successful in This Role
You are comfortable joining a team where engineers may understand individual systems more deeply than you do.
Instead of trying to become the technical owner of every component, you ask the right questions, understand trade-offs, create clarity, and help engineers make good decisions together.
You enjoy finding problems in the engineering system itself: unclear ownership, slow reviews, hidden dependencies, fragmented tooling, competing priorities, or processes that depend too heavily on individuals pushing things forward.
You can move between a conversation about architecture or CI pipelines, a 1:1 with an engineer, roadmap prioritization with Product, and a discussion about why delivery is taking longer than expected.
You are comfortable aligning your team roadmap with requirements from Product Managers, and from Engineering leadership, which may be different, and working with different stakeholders in general.
Most importantly, you combine technical credibility with strong people and execution leadership.
Nice to Have
Experience with some of the following would be particularly relevant:
Golang or Rust; understanding of WASM platform.
Basic understanding of formal grammar, AST, compiler frontends.
Observability and operational tooling.
Open-source development.
AI-assisted software development and automated code review.
PostgreSQL or database infrastructure.
Kubernetes, Docker, Terraform, or cloud infrastructure.
Multi-repository development environments.
Developer-facing APIs, SDKs, libraries, or integrations.
(REQ ID: 2582)
Location: Belgrade, Serbia
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
We are looking for a hands-on Engineering Manager to lead a team building core internal infrastructure and developer-facing systems. This role sits at the intersection of project management, engineering leadership, and platform development. The team (Evaluation Engines / Data processing engines) owns foundational components which are embedded into higher level workflow engines and tools. Examples are formula evaluation, data transformation according to predefined mapping, decision models, etc.
The team is technically strong and highly autonomous. We are looking for an Engineering Manager who can operate effectively in this environment: someone with a strong engineering background who understands complex systems, but does not need to be the deepest technical expert in every area.
Your role will be to help experienced engineers work effectively together, create clarity across interconnected initiatives, and improve how the team plans, collaborates, and delivers.
What You’ll Do
Lead a strong engineering team
You will manage and develop experienced engineers with significant ownership of their technical domains. The team is mostly Rust engineers, however they also build libraries for several other programming languages: Go, Ruby, Java, Python, and WASM.
You will be responsible for regular 1:1s, feedback, performance management, career development, hiring, onboarding, and team health.
We expect you to create an environment where engineers can remain highly autonomous while having clear priorities, ownership, and accountability. You will be responsible for team capacity planning and hiring when needed.
Build strong product
You will be working closely with Product Managers and department VP to define how the products look, what to build and in which order, what new exciting features we can bring to our customers. As this area is highly technical and speaks Computer Science terms at times, Product Managers will greatly rely on your and your team expertise to make decisions.
You will be responsible for working with Quality Engineering and Product Security teams to deliver high-quality products. At the same time in this AI era we expect you to embrace new tools to shift quality and security scans left.
Drive planning and execution
The team owns several interconnected technical areas, often developed across separate repositories and involving dependencies between engineers and projects.
You will:
Own planning and operational execution across multiple engineering workstreams.
Create visibility into priorities, dependencies, timelines, and resource allocation.
Help the team turn broad technical direction into an executable roadmap.
Identify and remove blockers before they significantly impact delivery.
Balance new development, customer commitments, operational work, and technical debt.
Define meaningful engineering metrics and use them to identify opportunities for improvement.
Keep stakeholders informed about progress, risks, and trade-offs.
Plan release and update cycles of the product.
Maintain the product, be responsible for defects triaging and mitigation.
Stay close to technology
This is strictly not a purely people-management role. Technical background and experience is a must.
We don't expect you to be a fluent Rust developer, we in fact are not expecting you to know Rust at all. But you should be comfortable participating in technical discussions, reviewing designs and architecture proposals, understanding engineering trade-offs, and challenging assumptions when needed. You should have a wide industry knowledge, and understand the pros and cons of different programming languages and platforms.
Depending on your background and interests, you may also review code, contribute to tooling or prototypes, participate in incident investigation, or use automation and AI-assisted development to improve engineering workflows.
At the same time, we do not expect the Engineering Manager to make every technical decision. Senior engineers (your team will contain a mix of engineers up to Staff and Architect levels) own significant parts of the technical direction, and a key part of the role is enabling them to do that effectively.
What We’re Looking For
We are looking for someone with:
Significant software engineering experience before or alongside engineering management.
Experience managing senior, autonomous engineers.
A strong background in platform engineering, developer infrastructure, developer productivity, backend infrastructure, or distributed systems.
Experience with CI/CD, release engineering, developer tooling, or internal engineering platforms.
Experience owning roadmaps and delivering multi-quarter engineering initiatives.
Strong understanding of software development lifecycle and engineering practices.
Experience managing technical debt alongside product and business priorities.
Ability to understand complex technical discussions without needing to personally own every implementation decision.
Strong stakeholder management and cross-functional communication skills.
Experience hiring, coaching, and developing engineers.
A pragmatic approach to engineering processes: enough structure to make teams effective, without unnecessary bureaucracy.
What Makes Someone Successful in This Role
You are comfortable joining a team where engineers may understand individual systems more deeply than you do.
Instead of trying to become the technical owner of every component, you ask the right questions, understand trade-offs, create clarity, and help engineers make good decisions together.
You enjoy finding problems in the engineering system itself: unclear ownership, slow reviews, hidden dependencies, fragmented tooling, competing priorities, or processes that depend too heavily on individuals pushing things forward.
You can move between a conversation about architecture or CI pipelines, a 1:1 with an engineer, roadmap prioritization with Product, and a discussion about why delivery is taking longer than expected.
You are comfortable aligning your team roadmap with requirements from Product Managers, and from Engineering leadership, which may be different, and working with different stakeholders in general.
Most importantly, you combine technical credibility with strong people and execution leadership.
Nice to Have
Experience with some of the following would be particularly relevant:
Golang or Rust; understanding of WASM platform.
Basic understanding of formal grammar, AST, compiler frontends.
Observability and operational tooling.
Open-source development.
AI-assisted software development and automated code review.
PostgreSQL or database infrastructure.
Kubernetes, Docker, Terraform, or cloud infrastructure.
Multi-repository development environments.
Developer-facing APIs, SDKs, libraries, or integrations.
(REQ ID: 2582)
Location: Tbilisi, Georgia
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
We are looking for a hands-on Engineering Manager to lead a team building core internal infrastructure and developer-facing systems. This role sits at the intersection of project management, engineering leadership, and platform development. The team (Evaluation Engines / Data processing engines) owns foundational components which are embedded into higher level workflow engines and tools. Examples are formula evaluation, data transformation according to predefined mapping, decision models, etc.
The team is technically strong and highly autonomous. We are looking for an Engineering Manager who can operate effectively in this environment: someone with a strong engineering background who understands complex systems, but does not need to be the deepest technical expert in every area.
Your role will be to help experienced engineers work effectively together, create clarity across interconnected initiatives, and improve how the team plans, collaborates, and delivers.
What You’ll Do
Lead a strong engineering team
You will manage and develop experienced engineers with significant ownership of their technical domains. The team is mostly Rust engineers, however they also build libraries for several other programming languages: Go, Ruby, Java, Python, and WASM.
You will be responsible for regular 1:1s, feedback, performance management, career development, hiring, onboarding, and team health.
We expect you to create an environment where engineers can remain highly autonomous while having clear priorities, ownership, and accountability. You will be responsible for team capacity planning and hiring when needed.
Build strong product
You will be working closely with Product Managers and department VP to define how the products look, what to build and in which order, what new exciting features we can bring to our customers. As this area is highly technical and speaks Computer Science terms at times, Product Managers will greatly rely on your and your team expertise to make decisions.
You will be responsible for working with Quality Engineering and Product Security teams to deliver high-quality products. At the same time in this AI era we expect you to embrace new tools to shift quality and security scans left.
Drive planning and execution
The team owns several interconnected technical areas, often developed across separate repositories and involving dependencies between engineers and projects.
You will:
Own planning and operational execution across multiple engineering workstreams.
Create visibility into priorities, dependencies, timelines, and resource allocation.
Help the team turn broad technical direction into an executable roadmap.
Identify and remove blockers before they significantly impact delivery.
Balance new development, customer commitments, operational work, and technical debt.
Define meaningful engineering metrics and use them to identify opportunities for improvement.
Keep stakeholders informed about progress, risks, and trade-offs.
Plan release and update cycles of the product.
Maintain the product, be responsible for defects triaging and mitigation.
Stay close to technology
This is strictly not a purely people-management role. Technical background and experience is a must.
We don't expect you to be a fluent Rust developer, we in fact are not expecting you to know Rust at all. But you should be comfortable participating in technical discussions, reviewing designs and architecture proposals, understanding engineering trade-offs, and challenging assumptions when needed. You should have a wide industry knowledge, and understand the pros and cons of different programming languages and platforms.
Depending on your background and interests, you may also review code, contribute to tooling or prototypes, participate in incident investigation, or use automation and AI-assisted development to improve engineering workflows.
At the same time, we do not expect the Engineering Manager to make every technical decision. Senior engineers (your team will contain a mix of engineers up to Staff and Architect levels) own significant parts of the technical direction, and a key part of the role is enabling them to do that effectively.
What We’re Looking For
We are looking for someone with:
Significant software engineering experience before or alongside engineering management.
Experience managing senior, autonomous engineers.
A strong background in platform engineering, developer infrastructure, developer productivity, backend infrastructure, or distributed systems.
Experience with CI/CD, release engineering, developer tooling, or internal engineering platforms.
Experience owning roadmaps and delivering multi-quarter engineering initiatives.
Strong understanding of software development lifecycle and engineering practices.
Experience managing technical debt alongside product and business priorities.
Ability to understand complex technical discussions without needing to personally own every implementation decision.
Strong stakeholder management and cross-functional communication skills.
Experience hiring, coaching, and developing engineers.
A pragmatic approach to engineering processes: enough structure to make teams effective, without unnecessary bureaucracy.
What Makes Someone Successful in This Role
You are comfortable joining a team where engineers may understand individual systems more deeply than you do.
Instead of trying to become the technical owner of every component, you ask the right questions, understand trade-offs, create clarity, and help engineers make good decisions together.
You enjoy finding problems in the engineering system itself: unclear ownership, slow reviews, hidden dependencies, fragmented tooling, competing priorities, or processes that depend too heavily on individuals pushing things forward.
You can move between a conversation about architecture or CI pipelines, a 1:1 with an engineer, roadmap prioritization with Product, and a discussion about why delivery is taking longer than expected.
You are comfortable aligning your team roadmap with requirements from Product Managers, and from Engineering leadership, which may be different, and working with different stakeholders in general.
Most importantly, you combine technical credibility with strong people and execution leadership.
Nice to Have
Experience with some of the following would be particularly relevant:
Golang or Rust; understanding of WASM platform.
Basic understanding of formal grammar, AST, compiler frontends.
Observability and operational tooling.
Open-source development.
AI-assisted software development and automated code review.
PostgreSQL or database infrastructure.
Kubernetes, Docker, Terraform, or cloud infrastructure.
Multi-repository development environments.
Developer-facing APIs, SDKs, libraries, or integrations.
(REQ ID: 2582)
Location: Sofia, Bulgaria
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
We are looking for a hands-on Engineering Manager to lead a team building core internal infrastructure and developer-facing systems. This role sits at the intersection of project management, engineering leadership, and platform development. The team (Evaluation Engines / Data processing engines) owns foundational components which are embedded into higher level workflow engines and tools. Examples are formula evaluation, data transformation according to predefined mapping, decision models, etc.
The team is technically strong and highly autonomous. We are looking for an Engineering Manager who can operate effectively in this environment: someone with a strong engineering background who understands complex systems, but does not need to be the deepest technical expert in every area.
Your role will be to help experienced engineers work effectively together, create clarity across interconnected initiatives, and improve how the team plans, collaborates, and delivers.
What You’ll Do
Lead a strong engineering team
You will manage and develop experienced engineers with significant ownership of their technical domains. The team is mostly Rust engineers, however they also build libraries for several other programming languages: Go, Ruby, Java, Python, and WASM.
You will be responsible for regular 1:1s, feedback, performance management, career development, hiring, onboarding, and team health.
We expect you to create an environment where engineers can remain highly autonomous while having clear priorities, ownership, and accountability. You will be responsible for team capacity planning and hiring when needed.
Build strong product
You will be working closely with Product Managers and department VP to define how the products look, what to build and in which order, what new exciting features we can bring to our customers. As this area is highly technical and speaks Computer Science terms at times, Product Managers will greatly rely on your and your team expertise to make decisions.
You will be responsible for working with Quality Engineering and Product Security teams to deliver high-quality products. At the same time in this AI era we expect you to embrace new tools to shift quality and security scans left.
Drive planning and execution
The team owns several interconnected technical areas, often developed across separate repositories and involving dependencies between engineers and projects.
You will:
Own planning and operational execution across multiple engineering workstreams.
Create visibility into priorities, dependencies, timelines, and resource allocation.
Help the team turn broad technical direction into an executable roadmap.
Identify and remove blockers before they significantly impact delivery.
Balance new development, customer commitments, operational work, and technical debt.
Define meaningful engineering metrics and use them to identify opportunities for improvement.
Keep stakeholders informed about progress, risks, and trade-offs.
Plan release and update cycles of the product.
Maintain the product, be responsible for defects triaging and mitigation.
Stay close to technology
This is strictly not a purely people-management role. Technical background and experience is a must.
We don't expect you to be a fluent Rust developer, we in fact are not expecting you to know Rust at all. But you should be comfortable participating in technical discussions, reviewing designs and architecture proposals, understanding engineering trade-offs, and challenging assumptions when needed. You should have a wide industry knowledge, and understand the pros and cons of different programming languages and platforms.
Depending on your background and interests, you may also review code, contribute to tooling or prototypes, participate in incident investigation, or use automation and AI-assisted development to improve engineering workflows.
At the same time, we do not expect the Engineering Manager to make every technical decision. Senior engineers (your team will contain a mix of engineers up to Staff and Architect levels) own significant parts of the technical direction, and a key part of the role is enabling them to do that effectively.
What We’re Looking For
We are looking for someone with:
Significant software engineering experience before or alongside engineering management.
Experience managing senior, autonomous engineers.
A strong background in platform engineering, developer infrastructure, developer productivity, backend infrastructure, or distributed systems.
Experience with CI/CD, release engineering, developer tooling, or internal engineering platforms.
Experience owning roadmaps and delivering multi-quarter engineering initiatives.
Strong understanding of software development lifecycle and engineering practices.
Experience managing technical debt alongside product and business priorities.
Ability to understand complex technical discussions without needing to personally own every implementation decision.
Strong stakeholder management and cross-functional communication skills.
Experience hiring, coaching, and developing engineers.
A pragmatic approach to engineering processes: enough structure to make teams effective, without unnecessary bureaucracy.
What Makes Someone Successful in This Role
You are comfortable joining a team where engineers may understand individual systems more deeply than you do.
Instead of trying to become the technical owner of every component, you ask the right questions, understand trade-offs, create clarity, and help engineers make good decisions together.
You enjoy finding problems in the engineering system itself: unclear ownership, slow reviews, hidden dependencies, fragmented tooling, competing priorities, or processes that depend too heavily on individuals pushing things forward.
You can move between a conversation about architecture or CI pipelines, a 1:1 with an engineer, roadmap prioritization with Product, and a discussion about why delivery is taking longer than expected.
You are comfortable aligning your team roadmap with requirements from Product Managers, and from Engineering leadership, which may be different, and working with different stakeholders in general.
Most importantly, you combine technical credibility with strong people and execution leadership.
Nice to Have
Experience with some of the following would be particularly relevant:
Golang or Rust; understanding of WASM platform.
Basic understanding of formal grammar, AST, compiler frontends.
Observability and operational tooling.
Open-source development.
AI-assisted software development and automated code review.
PostgreSQL or database infrastructure.
Kubernetes, Docker, Terraform, or cloud infrastructure.
Multi-repository development environments.
Developer-facing APIs, SDKs, libraries, or integrations.
(REQ ID: 2582)
Location: Berlin, Germany; Frankfurt, Germany; Munich, Germany
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
We are looking for a hands-on Engineering Manager to lead a team building core internal infrastructure and developer-facing systems. This role sits at the intersection of project management, engineering leadership, and platform development. The team (Evaluation Engines / Data processing engines) owns foundational components which are embedded into higher level workflow engines and tools. Examples are formula evaluation, data transformation according to predefined mapping, decision models, etc.
The team is technically strong and highly autonomous. We are looking for an Engineering Manager who can operate effectively in this environment: someone with a strong engineering background who understands complex systems, but does not need to be the deepest technical expert in every area.
Your role will be to help experienced engineers work effectively together, create clarity across interconnected initiatives, and improve how the team plans, collaborates, and delivers.
What You’ll Do
Lead a strong engineering team
You will manage and develop experienced engineers with significant ownership of their technical domains. The team is mostly Rust engineers, however they also build libraries for several other programming languages: Go, Ruby, Java, Python, and WASM.
You will be responsible for regular 1:1s, feedback, performance management, career development, hiring, onboarding, and team health.
We expect you to create an environment where engineers can remain highly autonomous while having clear priorities, ownership, and accountability. You will be responsible for team capacity planning and hiring when needed.
Build strong product
You will be working closely with Product Managers and department VP to define how the products look, what to build and in which order, what new exciting features we can bring to our customers. As this area is highly technical and speaks Computer Science terms at times, Product Managers will greatly rely on your and your team expertise to make decisions.
You will be responsible for working with Quality Engineering and Product Security teams to deliver high-quality products. At the same time in this AI era we expect you to embrace new tools to shift quality and security scans left.
Drive planning and execution
The team owns several interconnected technical areas, often developed across separate repositories and involving dependencies between engineers and projects.
You will:
Own planning and operational execution across multiple engineering workstreams.
Create visibility into priorities, dependencies, timelines, and resource allocation.
Help the team turn broad technical direction into an executable roadmap.
Identify and remove blockers before they significantly impact delivery.
Balance new development, customer commitments, operational work, and technical debt.
Define meaningful engineering metrics and use them to identify opportunities for improvement.
Keep stakeholders informed about progress, risks, and trade-offs.
Plan release and update cycles of the product.
Maintain the product, be responsible for defects triaging and mitigation.
Stay close to technology
This is strictly not a purely people-management role. Technical background and experience is a must.
We don't expect you to be a fluent Rust developer, we in fact are not expecting you to know Rust at all. But you should be comfortable participating in technical discussions, reviewing designs and architecture proposals, understanding engineering trade-offs, and challenging assumptions when needed. You should have a wide industry knowledge, and understand the pros and cons of different programming languages and platforms.
Depending on your background and interests, you may also review code, contribute to tooling or prototypes, participate in incident investigation, or use automation and AI-assisted development to improve engineering workflows.
At the same time, we do not expect the Engineering Manager to make every technical decision. Senior engineers (your team will contain a mix of engineers up to Staff and Architect levels) own significant parts of the technical direction, and a key part of the role is enabling them to do that effectively.
What We’re Looking For
We are looking for someone with:
Significant software engineering experience before or alongside engineering management.
Experience managing senior, autonomous engineers.
A strong background in platform engineering, developer infrastructure, developer productivity, backend infrastructure, or distributed systems.
Experience with CI/CD, release engineering, developer tooling, or internal engineering platforms.
Experience owning roadmaps and delivering multi-quarter engineering initiatives.
Strong understanding of software development lifecycle and engineering practices.
Experience managing technical debt alongside product and business priorities.
Ability to understand complex technical discussions without needing to personally own every implementation decision.
Strong stakeholder management and cross-functional communication skills.
Experience hiring, coaching, and developing engineers.
A pragmatic approach to engineering processes: enough structure to make teams effective, without unnecessary bureaucracy.
What Makes Someone Successful in This Role
You are comfortable joining a team where engineers may understand individual systems more deeply than you do.
Instead of trying to become the technical owner of every component, you ask the right questions, understand trade-offs, create clarity, and help engineers make good decisions together.
You enjoy finding problems in the engineering system itself: unclear ownership, slow reviews, hidden dependencies, fragmented tooling, competing priorities, or processes that depend too heavily on individuals pushing things forward.
You can move between a conversation about architecture or CI pipelines, a 1:1 with an engineer, roadmap prioritization with Product, and a discussion about why delivery is taking longer than expected.
You are comfortable aligning your team roadmap with requirements from Product Managers, and from Engineering leadership, which may be different, and working with different stakeholders in general.
Most importantly, you combine technical credibility with strong people and execution leadership.
Nice to Have
Experience with some of the following would be particularly relevant:
Golang or Rust; understanding of WASM platform.
Basic understanding of formal grammar, AST, compiler frontends.
Observability and operational tooling.
Open-source development.
AI-assisted software development and automated code review.
PostgreSQL or database infrastructure.
Kubernetes, Docker, Terraform, or cloud infrastructure.
Multi-repository development environments.
Developer-facing APIs, SDKs, libraries, or integrations.
(REQ ID: 2582)
Location: Hungary; Armenia; North Macedonia
Workplace: Remote
ABOUT THE GEO TEAM
GEO stands for Generative Engine Optimization. The GEO team builds products that help multi-location brands understand and improve how they are represented, cited, and recommended across AI-powered search and answer engines such as ChatGPT, Gemini, Perplexity, and Google AI Overviews.
We are building backend capabilities that collect and analyse signals from rapidly evolving AI platforms, measure brand visibility, and turn complex data into actionable recommendations for our customers.
ABOUT THE ROLE
As Backend Engineering Lead for Uberall’s GEO team, you will combine hands-on technical leadership with responsibility for the growth and effectiveness of the engineering team.
You will shape the architecture behind our AI-search products, lead the delivery of new capabilities, and help the team navigate a fast-moving and technically ambiguous domain. Working closely with Product, Engineering, and other stakeholders, you will translate customer needs and emerging developments in generative AI into reliable, scalable, and maintainable backend solutions.
Historically, our backend has been built on Groovy and Kotlin. Today we work AI-first, and much of our engineering work runs through AI-assisted development. As a result, we place far less weight on a specific stack than we used to. What matters is that you know your way around backend engineering and can apply sound judgment, whatever the language.
YOUR RESPONSIBILITIES
- Lead, develop, and grow the GEO engineering team, starting with two engineers and scaling as the product grows.
- Define how the team builds, reviews, evaluates, and ships, including how it uses AI-assisted development day to day.
- Guide the design and operation of backend systems that integrate with LLMs and AI-powered search platforms.
- Establish robust approaches for evaluating the quality and consistency of AI-generated results.
- Ensure that LLM-enabled capabilities are observable, testable, cost-efficient, and resilient to changing models and external providers.
- Help the team manage the particular challenges of generative AI systems, including non-deterministic behaviour, latency, rate limits, data quality, and graceful degradation.
- Stay informed about relevant developments in LLMs and AI search, assessing them pragmatically rather than adopting technology for its own sake.
YOUR PROFILE
- Experience leading or mentoring engineers, whether as a tech lead or engineering manager, including hiring and developing team members.
- Solid backend engineering experience with at least one object-oriented language (for example, Java, Kotlin, Groovy, C#, or Python). Prior experience with Groovy or Kotlin is helpful but not required.
- Comfort working AI-first, using AI-assisted development as a core part of how you and your team build and ship.
- Hands-on experience building or operating production systems that use LLMs, generative AI, or AI-powered external services.
- An understanding of how to evaluate and monitor LLM-enabled features beyond traditional deterministic testing.
- Experience designing reliable integrations with third-party APIs and managing concerns such as cost, latency, rate limits, observability, and provider failure.
- The ability to distinguish between an effective AI use case and one better solved with conventional software.
- Experience with prompt management, retrieval-augmented generation, embeddings, vector search, or LLM evaluation frameworks is beneficial but not essential.
- No experience training foundation models is required; this is primarily a backend engineering and technical leadership role.
No experience training foundation models is required; this is a backend engineering and engineering leadership role.
Location: Paris; Zurich; Madrid; Amsterdam; London; Brussels; 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.
ROLE SUMMARY
We are looking for an Anti-Corruption & Trade Compliance Legal Counsel to play a central role in the building, development and operation of Mistral AI's corporate compliance framework, with a particular focus on anti-corruption, economic sanctions and export controls.
Reporting to the Lead Anti-Corruption & Trade Compliance, the position offers genuine build-from-scratch ownership of core policies, processes and tools. It combines programme development, day-to-day compliance operations and cross-functional advisory work.
The role involves close collaboration with Legal, Finance, Procurement, Sales, Security, and Product and Engineering to translate legal requirements into clear, proportionate and auditable processes.
Key responsibilities
Anti-corruption/Sapin II
- Coordinate Sapin II Action Plan deployment of relevant policies, controls, training and third-party procedure.
- Lead the day-to-day operation and continuous improvement of risk-based due diligence from integrity screening through enhanced diligence and periodic review;
- Support the implementation and periodic review of the code of conduct, related policies, whistleblowing framework and training programme,
- Administer the gifts, hospitality and conflicts-of-interest processes, including reviewing requests and declarations, maintaining the relevant records and registers, and providing practical guidance to business teams.
- Work with Finance and Internal Control to define and monitor risk-based anti-corruption accounting controls.
- Contribute to the monitoring and periodic assessment of the anti-corruption programme, including programme records, metrics and reporting; monitor relevant regulatory and enforcement developments; and support anti-corruption incidents, internal reviews and investigations.
Economic sanctions and export controls
- Manage screening for new and existing counterparties as part of third-party due diligence and transaction-review processes.
- Support the Lead Anti-Corruption and Trade Compliance in export control classification of AI models, software, technology, compute infrastructure and hardware.
- Work with Procurement, Operations, Product and Engineering to embed screening and access-control requirements into onboarding, contracting and deployment processes, and maintain clear, auditable records and internal guidance.
- Develop and maintain standard sanctions and export-control contractual positions and clauses, and support their review and negotiation in customer, supplier, partner and reseller agreements.
- Monitor relevant regulatory and enforcement developments; coordinate external counsel and advisers; contribute to programme reporting for Legal leadership.
QUALIFICATIONS AND SKILLS
- Legal Master degree (Master’s in Business Law, Corporate Law, Compliance, or equivalent). Compliance certifications are also an asset.
- A minimum of 5 years of relevant experience in a company, law firm, consulting firm or regulatory authority.
- Substantive exposure to at least two of the following areas: anti-corruption and Sapin II, economic sanctions, and export controls.
- Experience in the technology or AI sector is a plus (understanding of data, semiconductors, or dual-use goods), as well as knowledge and understanding of artificial intelligence.
- Analytical and problem solving skills: Candidates should be able to analyze complex topics and have strong problem-solving skills, and be able to dig into internal systems.
- Pedagogy: Excellent written and verbal communication; strong ability to communicate legal advice to clients and colleagues, and presenting complex legal concepts in a clear and understandable manner.
- International mindset: International experience is a plus.
- Adaptability: Given the rapidly evolving nature of AI technologies and compute topics, and the legal landscape surrounding them, candidates should be adaptable and willing to continuously learn and update their skills and knowledge.
- Ability to work independently and in a team-oriented, collaborative environment.
- Ethical Awareness: Ability to promote an ethical and responsible culture.
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.
УдалённоNew York, New York; Manhattan, New York; Brooklyn, New York; Trenton, New Jersey; Yonkers, New york; New York City Metropolitan Area; Newark, New Jersey
ГибридParis; Zurich; Madrid; Amsterdam; London; Brussels; 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
seniorParis, France; London, United Kingdom; Lisbon, Portugal; Milan, Italy; Rome, Italy; Berlin, Germany; Athens, Greece; Barcelona, Spain; Bari, Italy; Split, Croatia; Copenhagen, Denmark; Oslo, Norway; Tallinn, Estonia; Limassol, Cyprus; Budapest, Hungary; Florence, Italy; Amsterdam, Netherlands; Stockholm, Sweden; Warsaw, Poland; Kraków, Poland; Lublin, Poland; Opole, Poland; Ankara, Türkiye; Antwerp, Belgium; Baku, Azerbaijan; Beirut, Lebanon; Bedford, United Kingdom; Belfast, United Kingdom; Belgrade, Serbia; Birkirkara, Malta; Bordeaux, France; Bruges, Belgium; Brussels, Belgium; Bucharest, Romania; Čačak, Serbia; Cagayan, Philippines; Cape Town, South Africa; České Budějovice, Czechia; Cluj-Napoca, Romania; Doha, Qatar; Dubai, United Arab Emirates; Dublin, Ireland; Edinburgh, United Kingdom; Düsseldorf, Germany; Eskişehir, Türkiye; Frankfurt, Germany; Gdańsk, Poland; Győr, Hungary; Helsinki, Finland; İstanbul, Türkiye; İzmir, Türkiye; Jakarta, Indonesia; Jaipur, India; Kočani, North Macedonia; Košice, Slovakia; Kuwait City, Kuwait; Kyiv, Ukraine; Ljubljana, Slovenia; Lviv, Ukraine; Lyon, France; Maastricht, Netherlands; Madrid, Spain; Málaga, Spain; Marrakech, Morocco; Moscow, Russia; Nairobi, Kenya; Naples, Italy; Nice, France; Nicosia, Cyprus; Nuremberg, Germany; Palermo, Italy; Porto, Portugal; Prague, Czechia; Prešov, Slovakia; Rajshahi, Bangladesh; Rijeka, Croatia; Riga, Latvia; Riyadh, Saudi Arabia; Šabac, Serbia; Saint-Tropez, France; Saint Pölten, Austria; Salzburg, Austria; San Marino; Sarajevo, Bosnia and Herzegovina; Seoul, South Korea; Shanghai, China; Shenzhen, China; Singapore; Skopje, North Macedonia; Sofia, Bulgaria; Stuttgart, Germany; Sydney, Australia; Tbilisi, Georgia; Tehran, Iran; Thessaloniki, Greece; The Hague, Netherlands; Tirana, Albania; Turin, Italy; Vladikavkaz, Russia; Vršac, Serbia; Wrocław, Poland; Zagreb, Croatia; Zürich, Switzerland; Aarhus, Denmark; Basel, Switzerland; Bergen, Norway; Bern, Switzerland; Bologna, Italy; Bratislava, Slovakia; Brno, Czechia; Burgas, Bulgaria; Birmingham, United Kingdom; Cardiff, United Kingdom; Celje, Slovenia; Chișinău, Moldova; Cologne, Germany; Constanța, Romania; Cork, Ireland; Coventry, United Kingdom; Craiova, Romania; Crete, Greece; Daugavpils, Latvia; Debrecen, Hungary; Derby, United Kingdom; Dnipro, Ukraine; Dresden, Germany; Galway, Ireland; Geneva, Switzerland; Genoa, Italy; Ghent, Belgium; Glasgow, United Kingdom; Gothenburg, Sweden; Graz, Austria; Hamburg, Germany; Hanover, Germany; Heraklion, Greece; Iași, Romania; Kaunas, Lithuania; Kazan, Russia; Kharkiv, Ukraine; Larnaca, Cyprus; Leeds, United Kingdom; Leipzig, Germany; Lille, France; Liverpool, United Kingdom; Łódź, Poland; Malmö, Sweden; Manchester, United Kingdom; Maribor, Slovenia; Marseille, France; Munich, Germany; Nantes, France; Newcastle, United Kingdom; Niš, Serbia; Nizhny Novgorod, Russia; Novi Sad, Serbia; Patras, Greece; Pécs, Hungary; Pljevlja, Montenegro; Plovdiv, Bulgaria; Podgorica, Montenegro; Poznań, Poland; Pristina, Kosovo; Rotterdam, Netherlands; Saint Petersburg, Russia; Samara, Russia; Seville, Spain; Sliema, Malta; Timișoara, Romania; Toulouse, France; Utrecht, Netherlands; Verona, Italy; Valencia, Spain; Varna, Bulgaria; Vienna, Austria; Valletta, Malta; Venice, Italy; Vilnius, Lithuania; Zaragoza, Spain; Zrenjanin, Serbia
juniorParis, France; London, United Kingdom; Lisbon, Portugal; Milan, Italy; Rome, Italy; Berlin, Germany; Athens, Greece; Barcelona, Spain; Bari, Italy; Split, Croatia; Copenhagen, Denmark; Oslo, Norway; Tallinn, Estonia; Limassol, Cyprus; Budapest, Hungary; Florence, Italy; Amsterdam, Netherlands; Stockholm, Sweden; Warsaw, Poland; Kraków, Poland; Lublin, Poland; Opole, Poland; Madrid, Spain; Alicante, Spain; Algarve, Portugal; Almería, Spain; Aarhus, Denmark; Aachen, Germany; A Coruña, Spain; Aalborg, Denmark; Biarritz, France; Bern, Switzerland; Bergen, Norway; Benalmádena, Spain; Belgrade, Serbia; Belfast, United Kingdom; Birmingham, United Kingdom; Bodrum, Türkiye; Bordeaux, France; Braga, Portugal; Brașov, Romania; Bratislava, Slovakia; Bremen, Germany; Brussels, Belgium; Bruges, Belgium; Bucharest, Romania; Burgas, Bulgaria; Cluj-Napoca, Romania; Cologne, Germany; Coimbra, Portugal; Cork, Ireland; Craiova, Romania; Dublin, Ireland; Dubrovnik, Croatia; Düsseldorf, Germany; Edinburgh, United Kingdom; Eindhoven, Netherlands; Essen, Germany; Frankfurt, Germany; Galway, Ireland; Gdańsk, Poland; Geneva, Switzerland; Genoa, Italy; Ghent, Belgium; Girona, Spain; Gibraltar; Gothenburg, Sweden; Graz, Austria; Hamburg, Germany; Iași, Romania; Innsbruck, Austria; İstanbul, Türkiye; İzmir, Türkiye; Karlsruhe, Germany; Košice, Slovakia; Kyiv, Ukraine; Larnaca, Cyprus; Leicester, United Kingdom; Leeds, United Kingdom; Leipzig, Germany; Le Havre, France; Lille, France; Limerick, Ireland; Liverpool, United Kingdom; Łódź, Poland; Ljubljana, Slovenia; Londonderry, United Kingdom; Lviv, Ukraine; Maastricht, Netherlands; Mainz, Germany; Málaga, Spain; Balearic Islands, Spain; Malmö, Sweden; Manchester, United Kingdom; Marbella, Spain; Marseille, France; Metropolitan City of Naples, Italy; Montpellier, France; Munich, Germany; Murcia, Spain; Newcastle upon Tyne, United Kingdom; Nice, France; Nicosia, Cyprus; Odense, Denmark; Nuremberg, Germany; Novi Sad, Serbia; Ostrava, Czechia; Palermo, Italy; Parma, Italy; Pécs, Hungary; Plovdiv, Bulgaria; Podgorica, Montenegro; Porto, Portugal; Prague, Czechia; Poznań, Poland; Rennes, France; Rotterdam, Netherlands; Saint Julian's, Malta; Saint-Étienne, France; Salzburg, Austria; Sarajevo, Bosnia and Herzegovina; Seville, Spain; Sheffield, United Kingdom; Sibiu, Romania; Skopje, North Macedonia; Sliema, Malta; Southampton, United Kingdom; Stuttgart, Germany; Tbilisi, Georgia; Thessaloniki, Greece; The Hague, Netherlands; Timișoara, Romania; Tirana, Albania; Torremolinos, Spain; Toulouse, France; Trondheim, Norway; Utrecht, Netherlands; Valletta, Malta; Valencia, Spain; Verona, Italy; Vitória da Conquista, Brazil; Vilnius, Lithuania; Vienna, Austria; Wexford, Ireland; Wolfsberg, Austria; Wrocław, Poland; Yerevan, Armenia; Zagreb, Croatia; Zadar, Croatia; Zürich, Switzerland; Faro, Portugal; Antwerp, Belgium; Baku, Azerbaijan; Basel, Switzerland; Birkirkara, Malta; Bologna, Italy; Brno, Czechia; Cardiff, United Kingdom; Celje, Slovenia; České Budějovice, Czechia; Chișinău, Moldova; Constanța, Romania; Coventry, United Kingdom; Crete, Greece; Daugavpils, Latvia; Debrecen, Hungary; Derby, United Kingdom; Dnipro, Ukraine; Dresden, Germany; Glasgow, United Kingdom; Helsinki, Finland; Heraklion, Greece; Kaunas, Lithuania; Kazan, Russia; Kharkiv, Ukraine; Lyon, France; Maribor, Slovenia; Moscow, Russia; Nantes, France; Naples, Italy; Newcastle, United Kingdom; Niš, Serbia; Nizhny Novgorod, Russia; Patras, Greece; Pljevlja, Montenegro; Pristina, Kosovo; Riga, Latvia; Saint Petersburg, Russia; Samara, Russia; San Marino; Sofia, Bulgaria; Turin, Italy; Varna, Bulgaria; Venice, Italy; Zaragoza, Spain; Zrenjanin, Serbia