Location: Limassol, Cyprus
Spotware is looking for a
Senior B2B Marketing Lead
to own the marketing strategy and go-to-market execution for the cTrader business direction.
This is a senior, hands-on role at the intersection of product marketing, demand generation and brand building. You will turn market insight and commercial priorities into clear positioning, integrated campaigns and measurable pipeline contribution.
We are looking for a marketer who can own a business direction end to end: identify opportunities, shape the plan, align stakeholders and make it happen.
Spotware is an AI-first company with an established ecosystem of AI tools, agents, automations and connected workflows. You will use this environment to move faster and work smarter - not to start from zero, but to turn these capabilities into stronger B2B marketing outcomes.
What You Will Own
B2B marketing strategy and go-to-market roadmap for cTrader across brokers, prop firms, fintech companies and relevant partners.
Market understanding: ICP definition, segmentation, buyer journeys, competitive context and prioritisation of markets and audiences.
Positioning, messaging architecture and proof points that make cTrader clear, relevant and differentiated for each key audience.
Integrated marketing plans spanning product launches, demand generation, content, partner activity, events, webinars, paid media and lifecycle communications.
Marketing contribution to qualified demand and pipeline, in close partnership with Sales and the wider Marketing team.
Cross-functional alignment across Product, Sales, Partnerships, Customer Success and Support around shared priorities, campaigns and feedback loops.
Ownership of the cTrader marketing budget: planning, allocation, spend control and performance tracking across priorities and channels.
An AI-first marketing operating model for the direction: applying and continuously improving the company’s connected AI workflows across research, planning, production, personalisation and measurement.
Key Responsibilities
Develop and maintain the B2B marketing plan for the cTrader business direction, translating commercial priorities into focused quarterly initiatives.
Work with Product, Sales, Partnerships, Customer Success and Support to understand market needs, customer objections, product priorities and growth opportunities.
Define and evolve positioning, audience-specific messaging, campaign angles, offers and calls to action.
Lead go-to-market plans for product launches, key features, new segments and strategic market initiatives.
Plan and orchestrate integrated campaigns across the right mix of channels, including content, email, paid media, webinars, partner campaigns, events, landing pages and nurture.
Brief and coordinate internal specialists and external partners across content, design, performance, CRM and campaign operations; ensure work is focused, timely and commercially relevant.
Create or oversee B2B content and sales enablement assets such as product narratives, case studies, presentations, landing pages, campaign materials and customer proof points.
Build and optimise marketing funnels for key audiences and accounts, spanning awareness, education, consideration, conversion and reactivation.
Partner with Sales to improve lead quality, campaign follow-up, feedback loops and the connection between marketing activity and deal progression.
Use customer, market and campaign data to assess performance, identify bottlenecks and recommend clear next actions.
Own the cTrader marketing budget: plan, allocate and control spend, and track performance against strategic and commercial priorities.
Turn successful initiatives into repeatable playbooks and scalable processes.
Use Spotware’s existing AI-first capabilities to accelerate market research, segmentation, content production, campaign personalisation, reporting and operational execution - and identify new workflows worth scaling.
Requirements
5+ years of experience in B2B marketing, product marketing, integrated marketing, growth marketing or revenue marketing.
Proven experience owning marketing strategy and go-to-market execution for a B2B product, business unit or product line.
Strong understanding of B2B positioning, ICPs, segmentation, buyer journeys, messaging and commercial storytelling.
Experience planning and running multi-channel campaigns, while knowing how to choose the right channels rather than applying a fixed playbook.
Ability to combine strategic thinking with hands-on execution and strong ownership.
Experience working cross-functionally with Product, Sales, Partnerships, Customer Success, Support, content, design and performance teams.
Strong written and verbal communication skills, with the ability to turn complex products into clear, persuasive narratives.
Commercial and analytical mindset: able to connect marketing activity with demand quality, pipeline and business outcomes.
Confidence working with CRM, marketing automation and campaign reporting; deep technical administration is not required.
Fluent English and the ability to work independently in a fast-moving environment.
An AI-native mindset and genuine enthusiasm for Claude or ChatGPT. You are a true power user who uses at least one of them daily as a thinking and execution partner - to research, plan, write, analyse and improve marketing workflows, not as an occasional productivity tool.
Nice to Have
Experience in fintech, B2B SaaS, trading platforms, brokerage technology, prop trading or financial markets.
Experience with account-based marketing, partner marketing, lifecycle marketing, webinars or industry events.
HubSpot certification and hands-on experience with HubSpot or a similar CRM and marketing automation platform.
LinkedIn Ads certification and practical experience running B2B paid acquisition campaigns.
Experience improving complex marketing workflows with AI agents, automation, data enrichment or connected tools.
Conditions
Private medical insurance.
Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup.
Support with settling into life in Cyprus, including basic guidance on everyday matters, accommodation, banking, and healthcare.
A comfortable office environment with fresh fruits every day, treats or pizza on Wednesdays, and snack day on Fridays.
Fair remuneration based on your experience, skills, and level of responsibility.
Welcome Baby Bonus and Baby Box to celebrate the arrival of a child.
Birthday voucher.
Partial compensation for sports activities and wellness initiatives.
Greek language classes.
leadLimassol, Cyprus; Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup
Location: Limassol, Cyprus
Spotware Systems is looking for a
Senior Technical Writer
to join our Content & Education Team. We are seeking an experienced technical writer who combines excellent documentation skills with hands-on expertise in AI-driven production, automation and publishing. You will help build scalable workflows that deliver accurate, consistent documentation for complex financial technology products.
Responsibilities
:
Create and maintain clear technical documentation, including user guides, illustrated how-tos and integration manuals.
Design and improve AI-assisted documentation workflows, from source research and drafting to review, validation, localisation readiness and delivery.
Structure and optimise documentation for AI readability, search visibility and reliable retrieval by agents.
Use AI tools and agents to automate repetitive documentation tasks, while verifying technical accuracy against authoritative product sources.
Maintain and enhance documentation portals (Docusaurus, MkDocs or similar platforms) and manage content through docs-as-code, Git and review workflows.
Collaborate with product, engineering and other stakeholders to turn releases and new features into accurate, timely documentation.
Produce release notes and selected B2B/B2C materials, including brochures, white papers and product-video scripts.
Establish and apply terminology, style, accessibility and quality standards, including automated checks for accuracy, terminology, style and links.
Requirements
:
Proven experience writing technical documentation for trading, forex, financial technology or similarly complex software products, backed with a strong portfolio.
Strong English writing, editing and instructional-design skills.
Practical experience with documentation platforms, Markdown, Git and docs-as-code workflows.
Hands-on experience using AI assistants, agents, MCP servers, APIs or similar tools into repeatable documentation production and quality-assurance workflows, beyond prompting alone.
Ability to evaluate AI-generated output critically, validate claims against product evidence and protect sensitive information.
Ability to work independently across teams, prioritise delivery, respond to feedback and improve processes continuously.
Conditions
:
Competitive remuneration reflecting your skills, contribution, and experience.
Comprehensive private medical insurance for your peace of mind and well-being.
Relocation support package (if applicable) — including visa and work permit arrangements to ensure a smooth move to Cyprus.
Welcome Baby Bonus to celebrate life’s most joyful milestones.
Birthday Voucher to make your special day even brighter.
Fully equipped, modern workplace offering daily fresh fruits, Wednesday breakfasts, Thursday pizza days, and Friday snacks — because great work deserves great food.
Sports and wellness benefits, including company-subsidized gym memberships and wellness programs to help you stay active and energized.
Support with integration into life in Cyprus, including guidance on local healthcare, banking, and accommodation.
Continuous learning and professional growth opportunities, including internal training, conferences, and skill-development initiatives.
Greek language classes to help you adapt smoothly to local life and culture.
Location: In-Office
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Austin, TX | New York City, NY | San Francisco, CA
About AI Gateway
AI inference is becoming core infrastructure. Every serious application will need access to many models across many providers, with reliability, observability, security, cost control, and routing built in from the start. AI Gateway is Cloudflare's bet that this layer belongs at the network edge: close to users, close to compute, and simple enough that a developer can adopt it with one API change.
Developers using AI Gateway need answers to two questions. Is the model I'm calling working the way you say it does? And which model should I be using at all? You'll lead the models team that answers both.
You'll start with model operations. That's the work behind every model in the catalog: provider integrations, capability testing, pricing and metering, capacity, security reviews, docs, health, and deprecations. Sometimes a launch needs to go live within minutes of a lab's announcement. Sometimes the right call is to hold it. Cloudflare is an infrastructure company at heart, so reliability and accuracy come first; speed comes from preparation and automation.
Then you'll bring model intelligence online. That means turning what we learn from Gateway traffic into decisions for customers: capability maps, per-task rankings, auto-routing profiles that pick the right model for each request, evals and regression detection, and market intelligence developers can trust.
This is a people-management role reporting to the AI Gateway Engineering Manager. You'll hire, develop, and lead the team, and you'll stay hands-on: writing code, building agent-driven workflows, and getting into the details of a failed launch or a suspicious eval SLO. Expect to manage people, projects, model stock, and operations all at once.
About the Role
Build and lead the models team:
Hire, coach, and grow the people who run the catalog today and build its intelligence over time. Give people real ownership, give direct feedback, and grow leads who can run their own areas.
Run model launches end-to-end:
Scope integrations, coordinate testing and evals, confirm pricing, metering, capacity, and security, and get docs and announcements ready. Prepare day-zero launches in advance so they can ship in minutes.
Keep the catalog true:
Make sure what we publish (capabilities, limits, versions, prices) matches what developers actually get. Catch silent regressions, such as broken tool calling, truncated streams, quantization changes, or usage and pricing mismatches, before customers do.
Build model intelligence:
As it comes online, own the evals, capability maps, and per-task rankings behind our auto-routing profiles and model recommendations. Make sure they measure what they claim to, and connect regressions to routing decisions so customers who chose "auto" aren't the ones who discover a problem.
Treat the catalog and intelligence as products:
Have a point of view on which models belong in the catalog, which routing profiles to ship, and what market intelligence to publish. Base it on usage, quality, reliability, and cost data. Turn what you learn into roadmap input.
Run a lightweight operating cadence:
Keep one source of truth for what's in flight, who owns it, what's blocked, and what ships next. Keep Engineering, Product, Partnerships, and other stakeholders aligned and informed without status meetings.
Automate relentlessly:
Turn repeatable steps into scripts, tools, and agent workflows: endpoint validation, eval runs, catalog and pricing reconciliation, regression detection, and provider follow-ups. Manual effort per launch should fall as the catalog grows.
Responsibilities
Day-Zero & Quality Launches:
Ensure new models launch on day zero with tested capabilities, accurate pricing, docs, and a clear call on routing eligibility.
Catalog Reliability & Health:
Ensure the catalog reflects reality, and proactively identify when a model or provider is underperforming before customers notice.
Auto-Routing & Optimization:
Deliver auto-routing that measurably beats a fixed model choice on cost or quality for users.
Developer Trust & Methodology:
Build and maintain trusted rankings and recommendations grounded in solid methodology.
Partner & Stakeholder Management:
Set clear expectations for providers, while keeping Engineering, Product, Partnerships, and other stakeholders aligned.
Team Leadership & Growth:
Provide clear ownership and direction so the team knows what's next, who owns it, and how to grow into bigger roles.
Operational Scalability:
Continually drive down the human effort required for each launch, eval, and routing update through tools and automation.
Desirable Skills, Knowledge, and Experience
People Leadership:
Experience hiring, managing, and growing engineers or operators, giving direct feedback, delegating real ownership, and expanding scope without becoming a bottleneck.
Technical & Shipping Capabilities:
Proven track record of taking technical launches or integrations from ambiguity to production across teams and partners. Hands-on ability to write TypeScript, Python, or Rust, read API docs, inspect endpoints, and debug using terminal tools (logs, cURL).
Model Ecosystem Expertise:
Deep familiarity with new models, labs, and inference providers. Hands-on understanding of streaming, tool calling, structured outputs, rate limits, token pricing, and provider-specific model behavior variations.
Product & SRE Mindset:
Data-driven product instincts to advocate for adding, modifying, or retiring catalog items. SRE approach to defining, measuring, and alerting on service health, managing incidents calmly, and fixing root causes.
Agent Workflows & Detail-Oriented Execution:
Daily experience building with agents—scoping work, verifying outputs, and integrating deterministic checks or human judgment appropriately. Meticulous attention to detail regarding model IDs, context limits, per-token prices, and response fields.
Bonus Qualifications (Nice to Have):
Experience at an inference provider, model lab, model router, eval platform, or API company.
Background in evals, ranking/recommendation systems, observability, metering, or usage-based billing.
Familiarity with Cloudflare Workers, AI Gateway, Workers AI, or Replicate.
Relevant domain backgrounds in engineering management, SRE, partner engineering, evals/applied ML, technical program management, or solutions engineering.
Compensation
Compensation may be adjusted depending on work location.
For Bay Area based hires: Estimated annual salary of $230,000 - $317,000
For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $275,000 - $303,000
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Hybrid/Remote - Europe (incl. UK); Estonia (remote); Switzerland (remote); Bulgaria (remote); Serbia (remote); Luxembourg (remote); France (remote); Paris (on-site); Norway (remote); England (remote); Croatia (remote); Sweden (remote); Scotland (remote); Slovenia (remote); Czechia (remote); Florence (on-site); Milan (on-site); Spain (remote); Romania (remote); Netherlands (hybrid); Ukraine (remote); Austria (remote); Denmark (remote); Ireland (remote); Slovakia (remote); EU (remote); Leuven (on-site); Belgium (remote); Northern Ireland (remote); Athens (on-site); Amsterdam (hybrid); Lithuania (remote); UK (remote); Hungary (remote); Finland (remote); Poland (remote); Wales (remote); Germany (remote); Eindhoven (hybrid); Moldova (remote); Albania (remote); Greece (remote); Zurich (on-site); Portugal (remote); Bristol (on-site); Italy (remote); Latvia (remote)
Workplace: Remote
About Us
Axelera AI https://www.axelera.ai is not your regular deep-tech company. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us.
In just five years, we have raised a total of $450 million and have built a world-class team of 250+ employees (including 60+ PhDs with more than 40,000 citations), both remotely from 21 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands.
We have also launched our Metis™ AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million.
Our unwavering commitment to innovation has firmly established us as a global industry pioneer.
Are you up for the challenge?
Position Overview
As a Senior/Staff Software Engineer in the Model Enablement team, you will build our model enablement platform and decide how each model runs across the Metis or Europa AIPU, the host CPU and the host's accelerators. How this work is split and scheduled determines most of the end-to-end performance a customer sees in the Voyager SDK.
The role combines architecture and hands-on work across the model frontend, the graph compiler, the runtime and the application pipeline. During model bring-up, you cover the frontend and graph side, and a device-side engineer covers the backend.
Our team uses AI coding agents in daily work, and you will use them to build, test and verify your own work. We also welcome experienced field application engineers, technical leads and engineering managers who want to return to hands-on engineering. Experience in planning, delegating and reviewing work transfers well to working with AI agents.
Key responsibilities:
- Model enablement platform and agent harness: Build the platform that engineers and AI agents use to bring up models: reusable tools to partition, compile, run and profile; environments with access to real hardware; closed-loop runs that apply a change, measure it against the reference and repeat; and verification (differential testing, regression detection) integrated into CI.
- Model ingestion: Own how a PyTorch or ONNX model is captured, analysed and split across the AIPU's matrix and RISC-V vector units, the host CPU and the host's accelerators (GPU, NPU, video decoder), with placement tags that users can read and override. Build this with the graph compiler team so it works for every model.
- Heterogeneous execution: Extend that split to large models, cascades and multi-model pipelines, for example with expert offloading and caching across device and host memory. Agree the plan with the graph compiler team.
- End-to-end performance: With the application team (pipeline builder) and the runtime team, bring each model to its best end-to-end performance: overlap of host and device work, zero-copy buffers, batching, multi-core scheduling, and models with several inputs. Profile device time, host time and data movement, and confirm each speedup in the full pipeline.
- Critical models: Study the models that matter most to customers, on Metis today and on Europa, and turn each lesson into a platform improvement.
Qualifications:
Essential
- 8+ years of engineering experience in systems, compilers, runtimes or performance, including system-level design ownership.
- Hands-on experience with heterogeneous computing across CPU, GPU, DSP, NPU or FPGA, including reasoning about compute, memory bandwidth, latency and data movement.
- Solid fundamentals in computer architecture, operating systems and parallel programming.
- Familiarity with ML graph representations and compiler concepts: graph capture (torch.export, FX, ONNX), lowering, operator fusion, partitioning, memory planning.
- Strong C++ and Python.
- Daily use of AI coding agents on real engineering work, with the judgment to review and test their output.
Preferred
- Hands-on experience with MLIR or another compiler framework (TVM, XLA, TorchInductor, IREE).
- Experience with an inference runtime or execution engine (ONNX Runtime execution providers, a custom NPU or DSP runtime).
- Experience with GPU compute (CUDA, OpenCL, Vulkan) or SIMD optimization on Arm or x86.
- Experience with large-model execution techniques such as offloading, expert caching, speculative decoding, pipelining across devices.
- Experience building agent environments, evaluation harnesses or verification frameworks (differential testing, regression detection), or MCP-based tooling.
Location
We offer a flexible working arrangement, with options to:
- Work from one of our Axelera AI offices (Leuven in Belgium, Amsterdam and Eindhoven in the Netherlands, Zurich in Switzerland, Florence and Milan in Italy or Bristol in the United Kingdom) if you're already based in the vicinity.
- Work fully remotely from any European country (incl. the UK) you are already in.
- Relocate with us and work from Italy (Florence or Milan) or the Netherlands (Amsterdam or Eindhoven).
Kindly note that priority will be given to candidates who are [interested in being] based in Belgium or Italy.
What we offer
This is your chance to shape and be part of a dynamic, fast-growing, international organization. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares.
An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team.
At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI.
Axelera AI may at times work with external parties (such as recruiters, headhunters, or executive search firms) to support both publicly posted and confidential searches. Our hiring process never involves any payment from candidates, and we will never require you to use a particular paid service to be considered for a role. If you have been approached by someone on our behalf and want to confirm it’s legitimate, please contact us directly at careers@axelera.ai.
Location: New York, New York, United States
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
Role:
Enterprise AI - Platform Engineer
Location:
New York City, Madison Square Park area
Reports to:
Head of Engineering
Experience Level:
6+ years
Work Model:
Hybrid, with regular in-office presence
Why Join Enterprise AI?
Enterprise AI is building the platform that enables reliable deployment of AI systems across enterprise environments.
As a Platform Engineer, you will build and operate the core of Turing’s Enterprise AI platform, including platform services, the model gateway, multi-tenant infrastructure, CI/CD, infrastructure as code, and observability.
The central challenge is creating repeatable deployments across environments Turing may not control, including client cloud accounts, dedicated instances, and sovereign installations.
As a Platform Engineer, You Will
Build Core Platform Services
Design, build, and operate the services that support the Enterprise AI platform, including platform infrastructure and the model gateway.
Enable Enterprise Deployment
Create reliable deployment systems for client cloud accounts, dedicated instances, and sovereign environments.
Own Infrastructure and Delivery Systems
Build and maintain CI/CD, infrastructure as code, and deployment tooling across environments using Kubernetes, Helm, Terraform or Pulumi, and GitOps practices.
Build for Reliability
Design systems that support secure multi-tenant operation, reliable service ownership, and clear operational accountability.
Establish Observability
Build observability across the platform using service-level objectives, structured logging, metrics, tracing, and alerting.
Build FinOps Visibility
Develop telemetry that tracks model and compute costs by tenant.
The Anti-Sell
Hands-on software engineering:
This is not a cloud-operations or ticket-queue DevOps role. You must be able to write production software and contribute deeply to platform services.
Operational ownership:
You will participate in on-call operations and incident response and help build the processes required to operate a production platform.
Deployment complexity:
The platform must operate across client cloud accounts, dedicated instances, and sovereign environments.
Team accountability:
The platform must be observable, operable, and maintainable by the team rather than dependent on one individual.
Our Enterprise AI Platform Engineers Typically Have
Production platform engineering experience:
Six or more years of platform or infrastructure engineering experience supporting production SaaS.
Customer-controlled deployment experience:
Experience shipping a product that customers run in their own environment, including in a VPC, a self-hosted environment, or an air-gapped environment.
Strong software engineering depth:
Deep expertise in at least one backend language, such as Go, Ruby, Python, or TypeScript, with the ability to read and work across the others.
Cloud and infrastructure expertise:
Deep experience in at least one cloud and comfort working in a second, including private networking, KMS, IAM, Kubernetes, Helm, Terraform or Pulumi, and GitOps.
Reliability and observability ownership:
Experience carrying a pager, running incidents, and working with tools such as OpenTelemetry, Prometheus, or Datadog.
Data and platform systems experience:
Familiarity with Postgres, object storage, queues, and vector stores.
Candidates whose experience is limited to cloud operations or ticket-queue DevOps without software engineering, or who have never operated multi-tenant systems, will not be a fit for this role.
Top-Tier Candidates Will Have
Experience with model serving and model gateways, including vLLM, LiteLLM, or Triton.
Experience implementing SOC 2 controls in CI.
Experience deploying and operating AI systems in regulated or highly controlled environments.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: Almaty, Kazakhstan
Workplace: remote
We are seeking a
Project Coordinator (AI think tank initiative)
to coordinate a comprehensive project assessing the impact of artificial intelligence on the labor market and key economic sectors of Cyprus. The project spans the entire lifecycle: from multidisciplinary research and data collection to building a unified predictive model, executing a public campaign and deploying B2G and B2C digital products. The implementation horizon is 2025–2030, starting in Cyprus with subsequent international expansion to other markets.
Key Responsibilities
Coordinate five research tracks: occupation mapping and AI substitution risk studies (ESCO, MOT, OECD), national statistics analysis (CYSTAT, Eurostat), expert scenario modeling, academic validation and AI agent deployment.
Engage with the Expert Advisory Board, bringing together top analysts, economists, political scientists, NGO leaders, academic partners and Cypriot government stakeholders.
Organize the preparation of analytical deliverables, including the publication of a White Paper, and hold roundtables and workshops with stakeholders and government ministries.
Support communication and PR/GR initiatives, special projects with HR platforms, public awareness campaigns and digital preventive qualification services.
Assist in the development and rollout of tech solutions: a decision-support dashboard monitoring unemployment risks for government bodies and a mobile career navigator app for citizens.
Oversee the pilot phase in 1–2 economic sectors in Cyprus, integrating the predictive model into state structures and preparing for international scalability.
Skills, Knowledge and Expertise
Experience:
Proven experience coordinating or managing multidisciplinary, product or research projects in B2G, B2C, data analytics or AI
Knowledge and skills:
Labor market research methodologies
Open data analysis
Practical AI applications
Structuring and maintaining project documentation
Languages:
English (Advanced, C1).
Key Competencies:
Communication with stakeholders at all levels, including government ministries, academic institutions, international organizations and expert communities
Exceptional organization and ability to manage multiple parallel work streams
Structured approach to project management and documentation.
Location: Lima, Peru
Workplace: hybrid
As one of the top mobility companies in the world, we have been redefining the industry with innovative mobile technologies since 2013, driving us toward becoming a super app. Join us in our mission to combat global injustice.
We are seeking a strategic Financial Controller to own the close and local regulatory compliance processes for our legal entities in Latin America, with a primary focus on Brazil, Mexico and Peru, and to lead and develop our LATAM accounting team. You will provide thought leadership and accounting expertise to support strategic decision-making in local accounting and compliance matters, and you will leverage your deep knowledge of local compliance requirements to support treasury, tax planning and FP&A.
Note: ONLY CVs in English will be considered.
Key Responsibilities
Lead and develop the LATAM accounting team (about 5 to 6 people across Mexico, Brazil and Peru): give clear structure and guidance, support learning and growth, and hold the team accountable without micromanaging.
Perform month-, quarter- and year-end close and financial reporting under U.S. and local GAAP, and ensure compliance with local statutory accounting, tax, cash repatriation and other regulatory requirements.
Own local statutory audits, tax audits and regulatory changes in each jurisdiction, working closely with tax agents and business process outsourcers (BPOs).
Own general ledger management, account reconciliations, flux analysis and adherence to internal controls; own entity deliverables for the global audit.
Lead continuous improvement of the close process, focusing on automation, SOP documentation, scalability and standardization, and reduce the number of days to close.
Use technology and AI tools to build and scale automated accounting processes.
Guide the business through the accounting operations and compliance setup of newly opened legal entities, including fiscalization and e-invoicing requirements.
Identify and resolve operational inefficiencies, accounting issues and regulatory risks with a proactive, data-driven mindset, with a strong understanding of the differences between U.S. GAAP and local GAAP.
Partner with Treasury, Tax and FP&A to support cash repatriation, tax planning and forecasting.
Skills, Knowledge & Expertise
10+ years of total work experience owning month-, quarter- and year-end close under local and U.S. GAAP, focused on timeliness, accuracy, robust documentation of standard operating procedures, adherence to internal controls and cross-functional collaboration.
Must have experience working in a large public company and strong U.S. GAAP knowledge in a Sarbanes-Oxley environment. A strong IFRS background is welcome as long as U.S. GAAP knowledge is solid.
Proven people leadership: a strong manager who builds and develops teams, is kind and empathetic while holding people accountable, and is focused on excellence in accounting, close and compliance.
Deep experience with local regulatory reporting, taxation and compliance matters, including working with BPOs and tax audits, and the ability to learn the requirements of new jurisdictions quickly and take end-to-end ownership.
Proven experience collaborating with cross-functional teams such as treasury, reporting, tax, shared services, HR and FP&A.
A builder's mindset focused on constant improvement, with a track record of reducing days to close and bringing efficiencies through technology, standardization of processes and talent development.
Strong organizational and prioritization skills, comfortable with ambiguity and working in fast-paced, remote-first, high-productivity and multicultural environments.
Clear communication in English, written and spoken.
An authorized public accounting license such as Chartered Accountant or local equivalent.
Nice to have:
experience in tech marketplaces or apps (first preference) or B2B SaaS companies; Big 4 background; NetSuite; hands-on experience building automations with AI tools such as Claude or ChatGPT.
Job Benefits
Be part of a growing and innovative company with a unique approach to ride-hailing and Fintech solutions.
Enjoy a collaborative and supportive work environment where new ideas and perspectives are encouraged and valued.
Competitive salary as a full-time employee.
Hybrid work arrangements to support a healthy work-life balance.
Location: Bogotá, Colombia
Workplace: hybrid
As one of the top mobility companies in the world, we have been redefining the industry with innovative mobile technologies since 2013, driving us toward becoming a super app. Join us in our mission to combat global injustice.
We are seeking a strategic Financial Controller to own the close and local regulatory compliance processes for our legal entities in Latin America, with a primary focus on Brazil, Mexico and Peru, and to lead and develop our LATAM accounting team. You will provide thought leadership and accounting expertise to support strategic decision-making in local accounting and compliance matters, and you will leverage your deep knowledge of local compliance requirements to support treasury, tax planning and FP&A.
Note: ONLY CVs in English will be considered.
Key Responsibilities
Lead and develop the LATAM accounting team (about 5 to 6 people across Mexico, Brazil and Peru): give clear structure and guidance, support learning and growth, and hold the team accountable without micromanaging.
Perform month-, quarter- and year-end close and financial reporting under U.S. and local GAAP, and ensure compliance with local statutory accounting, tax, cash repatriation and other regulatory requirements.
Own local statutory audits, tax audits and regulatory changes in each jurisdiction, working closely with tax agents and business process outsourcers (BPOs).
Own general ledger management, account reconciliations, flux analysis and adherence to internal controls; own entity deliverables for the global audit.
Lead continuous improvement of the close process, focusing on automation, SOP documentation, scalability and standardization, and reduce the number of days to close.
Use technology and AI tools to build and scale automated accounting processes.
Guide the business through the accounting operations and compliance setup of newly opened legal entities, including fiscalization and e-invoicing requirements.
Identify and resolve operational inefficiencies, accounting issues and regulatory risks with a proactive, data-driven mindset, with a strong understanding of the differences between U.S. GAAP and local GAAP.
Partner with Treasury, Tax and FP&A to support cash repatriation, tax planning and forecasting.
Skills, Knowledge & Expertise
10+ years of total work experience owning month-, quarter- and year-end close under local and U.S. GAAP, focused on timeliness, accuracy, robust documentation of standard operating procedures, adherence to internal controls and cross-functional collaboration.
Must have experience working in a large public company and strong U.S. GAAP knowledge in a Sarbanes-Oxley environment. A strong IFRS background is welcome as long as U.S. GAAP knowledge is solid.
Proven people leadership: a strong manager who builds and develops teams, is kind and empathetic while holding people accountable, and is focused on excellence in accounting, close and compliance.
Deep experience with local regulatory reporting, taxation and compliance matters, including working with BPOs and tax audits, and the ability to learn the requirements of new jurisdictions quickly and take end-to-end ownership.
Proven experience collaborating with cross-functional teams such as treasury, reporting, tax, shared services, HR and FP&A.
A builder's mindset focused on constant improvement, with a track record of reducing days to close and bringing efficiencies through technology, standardization of processes and talent development.
Strong organizational and prioritization skills, comfortable with ambiguity and working in fast-paced, remote-first, high-productivity and multicultural environments.
Clear communication in English, written and spoken.
An authorized public accounting license such as Chartered Accountant or local equivalent.
Nice to have:
experience in tech marketplaces or apps (first preference) or B2B SaaS companies; Big 4 background; NetSuite; hands-on experience building automations with AI tools such as Claude or ChatGPT.
Job Benefits
Be part of a growing and innovative company with a unique approach to ride-hailing and Fintech solutions.
Enjoy a collaborative and supportive work environment where new ideas and perspectives are encouraged and valued.
Competitive salary as a full-time employee.
Hybrid work arrangements to support a healthy work-life balance.
Location: Recife, Brazil
Workplace: hybrid
As one of the top mobility companies in the world, we have been redefining the industry with innovative mobile technologies since 2013, driving us toward becoming a super app. Join us in our mission to combat global injustice.
We are seeking a strategic Financial Controller to own the close and local regulatory compliance processes for our legal entities in Latin America, with a primary focus on Brazil, Mexico and Peru, and to lead and develop our LATAM accounting team. You will provide thought leadership and accounting expertise to support strategic decision-making in local accounting and compliance matters, and you will leverage your deep knowledge of local compliance requirements to support treasury, tax planning and FP&A.
Note: ONLY CVs in English will be considered.
Key Responsibilities
Lead and develop the LATAM accounting team (about 5 to 6 people across Mexico, Brazil and Peru): give clear structure and guidance, support learning and growth, and hold the team accountable without micromanaging.
Perform month-, quarter- and year-end close and financial reporting under U.S. and local GAAP, and ensure compliance with local statutory accounting, tax, cash repatriation and other regulatory requirements.
Own local statutory audits, tax audits and regulatory changes in each jurisdiction, working closely with tax agents and business process outsourcers (BPOs).
Own general ledger management, account reconciliations, flux analysis and adherence to internal controls; own entity deliverables for the global audit.
Lead continuous improvement of the close process, focusing on automation, SOP documentation, scalability and standardization, and reduce the number of days to close.
Use technology and AI tools to build and scale automated accounting processes.
Guide the business through the accounting operations and compliance setup of newly opened legal entities, including fiscalization and e-invoicing requirements.
Identify and resolve operational inefficiencies, accounting issues and regulatory risks with a proactive, data-driven mindset, with a strong understanding of the differences between U.S. GAAP and local GAAP.
Partner with Treasury, Tax and FP&A to support cash repatriation, tax planning and forecasting.
Skills, Knowledge & Expertise
10+ years of total work experience owning month-, quarter- and year-end close under local and U.S. GAAP, focused on timeliness, accuracy, robust documentation of standard operating procedures, adherence to internal controls and cross-functional collaboration.
Must have experience working in a large public company and strong U.S. GAAP knowledge in a Sarbanes-Oxley environment. A strong IFRS background is welcome as long as U.S. GAAP knowledge is solid.
Proven people leadership: a strong manager who builds and develops teams, is kind and empathetic while holding people accountable, and is focused on excellence in accounting, close and compliance.
Deep experience with local regulatory reporting, taxation and compliance matters, including working with BPOs and tax audits, and the ability to learn the requirements of new jurisdictions quickly and take end-to-end ownership.
Proven experience collaborating with cross-functional teams such as treasury, reporting, tax, shared services, HR and FP&A.
A builder's mindset focused on constant improvement, with a track record of reducing days to close and bringing efficiencies through technology, standardization of processes and talent development.
Strong organizational and prioritization skills, comfortable with ambiguity and working in fast-paced, remote-first, high-productivity and multicultural environments.
Clear communication in English, written and spoken.
An authorized public accounting license such as Chartered Accountant or local equivalent.
Nice to have:
experience in tech marketplaces or apps (first preference) or B2B SaaS companies; Big 4 background; NetSuite; hands-on experience building automations with AI tools such as Claude or ChatGPT.
Job Benefits
Be part of a growing and innovative company with a unique approach to ride-hailing and Fintech solutions.
Enjoy a collaborative and supportive work environment where new ideas and perspectives are encouraged and valued.
Competitive salary as a full-time employee.
Hybrid work arrangements to support a healthy work-life balance.
Location: Limassol, Cyprus
Workplace: hybrid
We are looking for an Application Security Engineer in the AppSec team.
As a Senior Application Security Engineer at inDrive, you will own whole areas of our AppSec program, from security requirements and design reviews to controls that work in production. You will work with product, platform and infrastructure teams on new architecture, AI systems and the security of our apps and services. The role fits a hands-on engineer who reviews code and architecture, leads work across several teams and makes security decisions based on data.
Key Responsibilities
Own one or more areas of the AppSec program end to end, including the plan, the risks and the metrics.
Run security design reviews and threat modeling of new features, services and AI systems, and defend security requirements at the architecture committee.
Assess the security of web, mobile and API applications and find variants of confirmed vulnerabilities across other services.
Coordinate external security assessments and bug bounty findings, from triage and prioritisation with teams to fix verification.
Design secure authentication and authorization between users, services and internal tools together with platform teams.
Choose, pilot and tune security tools, and keep only those that pay off in real findings.
Turn incidents and assessment results into lasting controls, policies and secure defaults for developers.
Consult development teams on complex security issues and take shifts in AppSec duty for Critical and High incidents.
Skills, Knowledge and Expertise
Higher education in IT, preferably in information security.
Knowledge of mobile application security on Android and iOS, client-server trust, app integrity and protection against bots and account takeover.
Deep knowledge of web and API security, including authentication and authorization flaws, SSRF, injections and business logic issues, and the ability to find variants of a vulnerability class across many services.
Strong understanding of identity and access, OAuth 2.0, OIDC, JWT, signing key rotation, mTLS, service-to-service authentication and SSO.
Understanding of security risks of AI systems and LLM agents, such as prompt injection, excessive tool permissions and agent access to sensitive data, and practical use of AI in your own security work.
Practical understanding of cloud-native infrastructure, Kubernetes, containers, API gateways and AWS.
Experience in threat modeling and security design review of new features and architecture.
Understanding of vulnerability management and risk, including severity, SLA, compensating controls and risk acceptance.
Ability to read and review code in at least one language, preferably Golang.
Track record of leading projects with two or more teams from a requirement to a verified fix, and clear written English.
Experience with secrets and key management, rotation and response to credential leaks.
Nice to have
Knowledge of software supply chain security, dependencies, CI/CD pipelines and source control platform hardening.
Experience tuning SAST, DAST and SCA tools for precision and judging a tool by noise and cost per real finding.
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Annual salary from 70 700 EUR gross.
Final benefits may vary depending on the location.
Location: Cairo, Egypt
Workplace: hybrid
inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production.
We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers.
Key Responsibilities
Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call.
Drive technical research and design for new platform features. Weigh trade-offs and write them down.
Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture.
Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load.
Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics.
Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks.
Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests.
Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones.
Skills, Knowledge and Expertise
3+ years of commercial backend engineering, including high-load systems.
Strong Go: you know and have used its advanced features in production.
Solid Python for data processing (batch, streaming and async) and for service code.
Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores.
Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability.
Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM).
Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow.
Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar).
Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers).
Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer.
Nice to have:
Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow.
GPU or LLM inference experience (vLLM, Triton, Langfuse).
Experience using AI coding agents with full review of generated changes.
Experience in emerging markets, or building where there is no playbook yet.
Experience with Infrastructure-as-Code (IaC) tools
Why join us
Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production.
A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft.
Help us challenge injustice by creating fair choices for millions of people across 48 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Islamabad, Pakistan
Workplace: hybrid
inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production.
We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers.
Key Responsibilities
Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call.
Drive technical research and design for new platform features. Weigh trade-offs and write them down.
Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture.
Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load.
Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics.
Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks.
Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests.
Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones.
Skills, Knowledge and Expertise
3+ years of commercial backend engineering, including high-load systems.
Strong Go: you know and have used its advanced features in production.
Solid Python for data processing (batch, streaming and async) and for service code.
Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores.
Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability.
Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM).
Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow.
Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar).
Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers).
Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer.
Nice to have:
Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow.
GPU or LLM inference experience (vLLM, Triton, Langfuse).
Experience using AI coding agents with full review of generated changes.
Experience in emerging markets, or building where there is no playbook yet.
Experience with Infrastructure-as-Code (IaC) tools
Why join us
Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production.
A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft.
Help us challenge injustice by creating fair choices for millions of people across 48 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Almaty, Kazakhstan
Workplace: hybrid
inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production.
We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers.
Key Responsibilities
Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call.
Drive technical research and design for new platform features. Weigh trade-offs and write them down.
Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture.
Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load.
Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics.
Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks.
Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests.
Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones.
Skills, Knowledge and Expertise
3+ years of commercial backend engineering, including high-load systems.
Strong Go: you know and have used its advanced features in production.
Solid Python for data processing (batch, streaming and async) and for service code.
Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores.
Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability.
Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM).
Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow.
Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar).
Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers).
Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer.
Nice to have:
Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow.
GPU or LLM inference experience (vLLM, Triton, Langfuse).
Experience using AI coding agents with full review of generated changes.
Experience in emerging markets, or building where there is no playbook yet.
Experience with Infrastructure-as-Code (IaC) tools
Why join us
Real scale and real constraints: models serving a global fleet, GPU budgets that matter, LLM workloads reaching production.
A strong backend engineer can grow into the MLOps domain here. We will teach you the platform side; you bring the engineering craft.
Help us challenge injustice by creating fair choices for millions of people across 48 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Limassol, Cyprus
Workplace: hybrid
inDrive runs many ML models across 48 countries, and the platform under them is growing fast. Teams ship to Databricks, SageMaker and self-managed GPU inference, and LLM workloads are moving into production.
We are hiring a Backend Engineer to build and run the services and tooling that ML teams depend on. You will write production-grade Go and Python, own your services from design to on-call, and learn the MLOps stack (Terraform, Kubernetes, Databricks, SageMaker) on the job. You will work with data scientists, ML engineers, and software and data engineers.
Key Responsibilities
Design, build and run backend services and internal tooling for the ML platform, in Go and Python, and own them in production: delivery, monitoring, on-call.
Drive technical research and design for new platform features. Weigh trade-offs and write them down.
Build and extend the deployment tooling and SDKs ML teams use to ship models, including serving, autoscaling and data capture.
Integrate ML services with the wider backend: sync (HTTP, gRPC) and async (Kafka, RabbitMQ) communication, built for reliability under high load.
Support the full ML delivery cycle with data scientists and ML engineers: CI/CD for models and pipelines, monitoring, and model performance metrics.
Build observability end to end: metrics, logs, dashboards, tracing, alerting and runbooks.
Write infrastructure as code with Terraform and Terragrunt, and ship it through reviewed pull requests.
Take part in code and design reviews and help raise the engineering bar. Mentor engineers and hold AI-generated changes to the same review standard as human ones.
Skills, Knowledge and Expertise
3+ years of commercial backend engineering, including high-load systems.
Strong Go: you know and have used its advanced features in production.
Solid Python for data processing (batch, streaming and async) and for service code.
Strong SQL: schema design, indexes, query optimisation, and scaling approaches such as replication and partitioning. Experience with Redis or similar key-value stores.
Experience with sync and async service communication (HTTP, gRPC, Kafka or RabbitMQ), with a focus on reliability.
Docker, CI/CD pipelines, and working Kubernetes knowledge. Experience with AWS/GCP core services (compute, storage, networking, IAM).
Understanding of the ML lifecycle: data preparation, model performance metrics, non-functional requirements, and concept drift in production. Familiarity with scikit-learn, PyTorch/TensorFlow.
Experience designing and running observability: metrics, logging, dashboards, tracing (Prometheus, Grafana, ELK or similar).
Git workflows and code review, comfortable Linux command line, and networking basics (TCP/IP, DNS, VPC, load balancers).
Ability to explain a trade-off clearly to a data scientist, a product owner and an on-call engineer.
Nice to have:
Hands-on experience with MLOps tooling: Databricks (Unity Catalog, Asset Bundles), SageMaker, Kubeflow, MLflow or Airflow.
GPU or LLM inference experience (vLLM, Triton, Langfuse).
Experience using AI coding agents with full review of generated changes.
Experience in emerging markets, or building where there is no playbook yet.
Experience with Infrastructure-as-Code (IaC) tools
Why join us
Help us challenge injustice by creating fair choices for millions of people across in 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Annual salary starting from 59 200 EUR gross
Final benefits may vary depending on the location.
Location: Limassol, Cyprus
Workplace: hybrid
You will lead analytics for the
Services
cluster — the set of domains that protect trust, safety, and quality across every interaction on our platform. This is where the integrity of the marketplace is safeguarded and where millions of passengers and drivers experience inDrive as a safe and reliable place to be. Your teams will span five closely connected areas:
Watchdocs
(driver document verification and work with the compliance base),
Trust & Safety
(everything related to trust and safety in rides — incidents and safety features),
Customer Support
(both the product tooling for handling user requests and the automation of that work, plus WFM analytics of support agents' performance),
Customer Experience
(Voice-of-the-Customer feedback and connecting satisfaction metrics such as CSAT/DSAT to business metrics), and
Antifraud
(protecting rides, transactions, ratings, and more from abuse across inDrive).
You will build and manage a team that partners closely with
product, operations, support, and compliance
to turn a large volume of behavioral, operational, and feedback signals into decisions that reduce risk and improve experience at the same time. From detecting and quantifying fraud across rides and transactions, to measuring the real business impact of safety features and support automation, to linking customer-feedback metrics (CSAT/DSAT) with core business outcomes — your work will define how the company balances protection, cost, and user satisfaction.
In this role, you will act as a
strategic partner
to product and business leaders, as well as to Trust & Safety and Compliance stakeholders — shaping the analytics agenda for the Services cluster, defending its strategy in front of senior leadership, and building scalable processes, metrics, and standards that make trust and safety measurable across the whole platform.
Key Responsibilities
Own the
analytics strategy and roadmap
for the Services cluster (Watchdocs, Trust & Safety, Customer Support, CX, Antifraud), align it with company-level priorities, and defend it in front of senior leadership
Build, grow, and develop a
team of 11+
(analysts) — hiring, mentoring, and setting quality standards across the cluster
Lead
Antifraud analytics
: detect and quantify fraudulent behavior across rides, transactions, and ratings; evaluate the effectiveness of anti-fraud rules and models and their trade-off with false positives
Drive
Trust & Safety analytics
: measure incident rates, evaluate the impact of safety features, and help prioritize initiatives that reduce risk for passengers and drivers
Oversee
Customer Support analytics
: assess support tooling and automation effectiveness, contact-rate drivers, resolution quality, and WFM analytics for agent capacity and performance
Lead
CX analytics
: connect Voice-of-the-Customer metrics (CSAT/DSAT) to business outcomes such as retention and revenue, and turn feedback into prioritized product and operational actions
Guide
Watchdocs analytics
: the document-verification funnel, compliance coverage, and the balance between compliance rigor and a smooth driver onboarding experience
Define and
standardize metrics, definitions, and monitoring
across the cluster; ensure data quality in partnership with DWH, DS, and Engineering
Establish best practices in
experimentation (A/B testing), causal inference, forecasting, and effect measurement
across the team
Partner cross-functionally at the
company level
(Product & Tech & Business, DWH, DS, Engineering) and act as a trusted advisor to Head / Director / C-suite stakeholders
Skills, Knowledge and Expertise
6+ years of experience in data or product analytics, preferably in tech, ride-hailing, marketplace, or platform businesses
2+ years of people management, leading teams of 10+ people, including other managers or team leads
Strong expertise in SQL and Python (or R), with a solid foundation in statistics and experimentation (A/B testing, causal inference)
Proven ability to translate large volumes of behavioral, operational, and feedback data into decisions that balance risk, cost, and user experience
Experience partnering with senior stakeholders (Head / Director / C-suite) and forming and defending strategy at the company level
Proficiency in BI tools (Tableau, Looker, Redash, or similar)
Strong communication skills and the ability to present complex findings clearly to both technical and non-technical audiences
English proficiency at B2 or higher for international collaboration
Nice to Have
Hands-on experience in one of the Services domains — Trust & Safety, Antifraud, Customer Support / WFM, CX / Voice-of-the-Customer, or compliance
Experience with fraud / risk modeling, anomaly detection, or safety analytics
Familiarity with text / sentiment analysis for customer-feedback data
Experience scaling analytics across multiple countries and verticals
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries
Develop your professional skills with access to mentoring, career consulting, and learning programs
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
Work alongside people who take initiative, speak openly, and challenge themselves to grow
Improve your language skills through co-financed courses and internal speaking clubs
Annual salary from EUR 90 700 gross
Final benefits may vary depending on the location.
Location: Almaty, Kazakhstan
Workplace: hybrid
You will lead analytics for the
Services
cluster — the set of domains that protect trust, safety, and quality across every interaction on our platform. This is where the integrity of the marketplace is safeguarded and where millions of passengers and drivers experience inDrive as a safe and reliable place to be. Your teams will span five closely connected areas:
Watchdocs
(driver document verification and work with the compliance base),
Trust & Safety
(everything related to trust and safety in rides — incidents and safety features),
Customer Support
(both the product tooling for handling user requests and the automation of that work, plus WFM analytics of support agents' performance),
Customer Experience
(Voice-of-the-Customer feedback and connecting satisfaction metrics such as CSAT/DSAT to business metrics), and
Antifraud
(protecting rides, transactions, ratings, and more from abuse across inDrive).
You will build and manage a team that partners closely with
product, operations, support, and compliance
to turn a large volume of behavioral, operational, and feedback signals into decisions that reduce risk and improve experience at the same time. From detecting and quantifying fraud across rides and transactions, to measuring the real business impact of safety features and support automation, to linking customer-feedback metrics (CSAT/DSAT) with core business outcomes — your work will define how the company balances protection, cost, and user satisfaction.
In this role, you will act as a
strategic partner
to product and business leaders, as well as to Trust & Safety and Compliance stakeholders — shaping the analytics agenda for the Services cluster, defending its strategy in front of senior leadership, and building scalable processes, metrics, and standards that make trust and safety measurable across the whole platform.
Key Responsibilities
Own the
analytics strategy and roadmap
for the Services cluster (Watchdocs, Trust & Safety, Customer Support, CX, Antifraud), align it with company-level priorities, and defend it in front of senior leadership
Build, grow, and develop a
team of 11+
(analysts) — hiring, mentoring, and setting quality standards across the cluster
Lead
Antifraud analytics
: detect and quantify fraudulent behavior across rides, transactions, and ratings; evaluate the effectiveness of anti-fraud rules and models and their trade-off with false positives
Drive
Trust & Safety analytics
: measure incident rates, evaluate the impact of safety features, and help prioritize initiatives that reduce risk for passengers and drivers
Oversee
Customer Support analytics
: assess support tooling and automation effectiveness, contact-rate drivers, resolution quality, and WFM analytics for agent capacity and performance
Lead
CX analytics
: connect Voice-of-the-Customer metrics (CSAT/DSAT) to business outcomes such as retention and revenue, and turn feedback into prioritized product and operational actions
Guide
Watchdocs analytics
: the document-verification funnel, compliance coverage, and the balance between compliance rigor and a smooth driver onboarding experience
Define and
standardize metrics, definitions, and monitoring
across the cluster; ensure data quality in partnership with DWH, DS, and Engineering
Establish best practices in
experimentation (A/B testing), causal inference, forecasting, and effect measurement
across the team
Partner cross-functionally at the
company level
(Product & Tech & Business, DWH, DS, Engineering) and act as a trusted advisor to Head / Director / C-suite stakeholders
Skills, Knowledge and Expertise
6+ years of experience in data or product analytics, preferably in tech, ride-hailing, marketplace, or platform businesses
2+ years of people management, leading teams of 10+ people, including other managers or team leads
Strong expertise in SQL and Python (or R), with a solid foundation in statistics and experimentation (A/B testing, causal inference)
Proven ability to translate large volumes of behavioral, operational, and feedback data into decisions that balance risk, cost, and user experience
Experience partnering with senior stakeholders (Head / Director / C-suite) and forming and defending strategy at the company level
Proficiency in BI tools (Tableau, Looker, Redash, or similar)
Strong communication skills and the ability to present complex findings clearly to both technical and non-technical audiences
English proficiency at B2 or higher for international collaboration
Nice to Have
Hands-on experience in one of the Services domains — Trust & Safety, Antifraud, Customer Support / WFM, CX / Voice-of-the-Customer, or compliance
Experience with fraud / risk modeling, anomaly detection, or safety analytics
Familiarity with text / sentiment analysis for customer-feedback data
Experience scaling analytics across multiple countries and verticals
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
Location: Washington, United States
Workplace: hybrid
inDrive is seeking a Senior Revenue Accountant to serve as the US GAAP subject-matter expert for our global Revenue Accounting team, while staying hands-on in the monthly close. You will form and document the accounting conclusions behind our revenue streams, and you will also own the execution: preparing and posting journal entries, reconciling accounts, and defending the numbers with auditors. This role requires regular collaboration during US Eastern business hours.
Key Responsibilities
Technical Accounting & ASC 606
Own the application of ASC 606 across all revenue streams and divisions, including the five-step model, principal vs. agent (gross vs. net) assessments, performance obligations, variable consideration, and consideration payable to customers (incentives, promotions, refunds)
Research authoritative guidance and interpretive literature, and author clear technical accounting memos and position papers for new products, pricing changes, partner contracts, and non-routine transactions
Review new commercial arrangements early to flag accounting implications, and translate conclusions into system, data, and process requirements
Assist in preparing revenue disclosures when asked (disaggregation, contract balances, remaining performance obligations) and monitor new FASB/SEC guidance to support public company readiness
Revenue Operations & Close
Prepare and post journal entries in the ERP for revenue, customer incentives, refunds and chargebacks, payment provider fees, bad debt reserves, and loan-related activity
Perform monthly balance sheet reconciliations and revenue flux analysis; investigate variances and ensure completeness, cutoff, and accurate period alignment
Tie source and subledger data to the general ledger in a high-volume, multi-currency environment, partnering with Payment Provider Reconciliation and Data teams to resolve breaks
Controls, Audit & Process Improvement
Design, document, and operate SOX-compliant controls over revenue, including process narratives and risk and control matrices
Serve as a contact for external auditors on revenue: walkthroughs, PBC requests, and defense of technical positions
Drive automation of revenue recognition and JE workflows, partnering with Finance Systems and Data teams to reduce manual effort and risk
Skills, Knowledge & Expertise
Required qualifications
CPA, CA, or equivalent professional designation; bachelor’s degree in Accounting or related field
8+ years of progressive accounting experience, including Big 4 (or equivalent) public accounting and industry revenue or technical accounting
Deep, hands-on ASC 606 expertise with a track record of writing technical memos that withstand auditor scrutiny
Strong command of US GAAP more broadly, plus working knowledge of SOX and internal controls
Hands-on close experience: preparing and posting JEs, reconciliations, and flux analysis in an ERP (NetSuite, SAP, or Oracle)
Experience with high transaction volumes and multi-currency accounting; advanced Excel skills
Excellent written and verbal English; able to explain complex conclusions simply to non-accountants
Preferred qualifications
Experience at a public company or through IPO readiness, including SEC reporting and PCAOB audits
Background in marketplaces, platforms, payments, or fintech, where principal vs. agent and incentive accounting are central
Comfort with SQL/BigQuery or revenue subledger tools; a drive to automate and improve processes in a fast-moving, global environment
Why join us
Help us challenge injustice by creating fair choices for millions of people across 48 countries
Develop your professional skills with access to mentoring, career consulting, and learning programs
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects
Work alongside people who take initiative, speak openly, and challenge themselves to grow
Improve your language skills through co-financed courses and internal speaking clubs
Final benefits may vary depending on the location.
Location: Cairo, Egypt
Workplace: hybrid
We are looking for a Senior Data Engineer to join one of the Data Platform teams that works with the Marketing, Growth, partner, and financial data domains.
You will be working with cutting edge cloud technologies (GCP, AWS, BigQuery, Databricks, K8s) and building a large scale data infrastructure for analytics, machine learning, and streaming/CDC data delivery.
Key Responsibilities
Build and operate batch and streaming ingestion into a layered BigQuery DWH (raw → ODS → data marts) using Airflow, Debezium CDC over Kafka with protobuf, Pub/Sub, and Dataflow
Integrate external data sources end-to-end — marketing platforms (GA4, AppsFlyer, TikTok/Meta/Google Ads), payment providers, S3 buckets, and third-party APIs — including schema contracts, backfills, and reconciliation
Engineer the data platform itself in Python: custom Airflow operators and connectors in a shared ETL framework, Kafka Connect on Strimzi (K8s), Cloud Functions, and API integrations with external providers
Build CI/CD and change-management tooling for BigQuery: GitHub-based test-and-approval flows, SQL migration engines (Liquibase/Flyway/Bytebase), sandbox validation, backup and rollback
Own reliability and correctness of pipelines: idempotency, deduplication, late-data handling, backfill and replay, freshness monitoring and alerting; write integration and unit tests
Drive data governance and compliance: ITGC-compliant change management for BigQuery, IAM and least-privilege access, PII policy tags and DLP, Unity Catalog on Databricks, column-level lineage (OpenMetadata/Dataplex), and disaster-recovery planning
Build internal data tools and platform services for agentic workflows with data — Streamlit apps, Slack bots, LLM-based agents and MCP servers that help teams find and use data
Support analysts and business teams with data requests, fostering data-driven decision-making across the company
Contribute to system design and architecture with the development team
Skills, Knowledge and Expertise
Strong practical Python: clean, well-structured, and tested code for services, tooling, and data pipelines
Solid software design skills (OOP, modularity, design patterns) — we build platform tools for agentic workflows with data and plan to develop data-related backend services, so well-designed code is highly valued
Experience building and operating services in a cloud environment (GCP, AWS or similar): CI/CD, containerization, monitoring and alerting
Familiarity with Kubernetes and Terraform — our infrastructure runs on GCP/K8s
Hands-on experience with DWH-related tasks (BigQuery or another cloud warehouse) and confident working SQL
Clear communication with non-engineering stakeholders — a meaningful share of the work is data requests from analysts and business teams
Demonstrated ability to take ownership of technologies or services and proactively contribute ideas to the team
Nice to have
Advanced SQL: complex queries, window functions, partitioning, clustering, and cost optimization
Experience building reliable pipelines around CDC (e.g., Debezium): idempotency, schema evolution, backfills, and reconciliation
Analytical data modeling skills: table grain, facts vs dimensions, slowly changing dimensions, and metric definitions
Experience with stream processing frameworks such as Flink or Apache Beam/Dataflow
Exposure to data governance and audit compliance (ITGC/SOX), Databricks Unity Catalog, or lineage/catalog tooling (OpenMetadata, Dataplex)
Interest in building LLM-based agents and AI tooling for data
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Final benefits may vary depending on the location.
seniorLimassol, Cyprus; Relocation support package (if applicable) — including visa and work permit arrangements to ensure a smooth move to Cyprus
leadГеография найма не уточнена
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УдалённоseniorHybrid/Remote - Europe (incl. UK); Estonia (remote); Switzerland (remote); Bulgaria (remote); Serbia (remote); Luxembourg (remote); France (remote); Paris (on-site); Norway (remote); England (remote); Croatia (remote); Sweden (remote); Scotland (remote); Slovenia (remote); Czechia (remote); Florence (on-site); Milan (on-site); Spain (remote); Romania (remote); Netherlands (hybrid); Ukraine (remote); Austria (remote); Denmark (remote); Ireland (remote); Slovakia (remote); EU (remote); Leuven (on-site); Belgium (remote); Northern Ireland (remote); Athens (on-site); Amsterdam (hybrid); Lithuania (remote); UK (remote); Hungary (remote); Finland (remote); Poland (remote); Wales (remote); Germany (remote); Eindhoven (hybrid); Moldova (remote); Albania (remote); Greece (remote); Zurich (on-site); Portugal (remote); Bristol (on-site); Italy (remote); Latvia (remote); We welcome applicants from all backgrounds to join us in shaping the future of AI
New York, New York, United States; Hybrid, with regular in-office presence; For applicants from the European Union, please review
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