Location: Mumbai
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.
The global infrastructure team ensures the stability, performance, and optimization of QRT’s technology environment. The team collaborates with engineers, business stakeholders, and end users to troubleshoot issues, improve monitoring and instrumentation, and deliver solutions that support latency-sensitive trading platforms.
Who we are looking for
We are seeking an exceptional Technical Program Manager to join the QRT IT infrastructure team tasked with driving the innovation of its next generation systems infrastructure. This is an exciting opportunity for the right candidate to help facilitate QRTs’ growth.
The successful candidate will be accountable for the end-to-end delivery of multiple parallel infrastructure projects to support our growing trading venues footprint. You will be working closely with QRTs compute, network engineering and data center operations teams as well as QRT’s partners and financial exchanges.
As part of the role, you will be exposed to trading and enterprise projects - working in a fast paced, collaborative and supportive environment delivering best in class infrastructure for the business.
Your future role within QRT
• Plan and manage the infrastructure delivery of new trading sites in colocation at proximity venues through effective project/task management and resource planning
• Assist the networking team in gathering requirements and coordinating with vendors, brokers and exchanges for new connectivity/access to markets
• Manage infrastructure provisioning and deployment across colocation and regional data centres, ensuring performance and scalability
• Assist QRT infrastructure team in managing allocation of compute resources across all QRTs colocations and datacentres.
• Build up working knowledge of QRT’s business and technology stack
• Ensure project stakeholders are kept up to date on status / timelines / project blockers using the Atlassian JIRA system
• Ensuring infrastructure projects are delivered on time and to the highest quality
Your present skillset
• At least 10 years’ experience delivering electronic trading infrastructure implementations
• Previous experience of the financial technology industry is a must
• Knowledge of trading colocation environments is a must
• Strong knowledge of trading infrastructure (Linux, Networking)
• Good working knowledge of exchange connectivity (market data/order entry)
• Effective project management skills and practices.
• An analytical thinker with excellent problem-solving abilities.
• Excellent communication & collaboration skills
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a Software Engineer to join our Control Team in London.
You will own how we measure control quality - per robot and across the fleet. Today, judging whether a change made the robot better is still too often an engineer's opinion after a few runs. You will replace that with numbers: reproducible, automated, trusted numbers that say whether a release is better than the last one, whether one robot behaves like another, and whether a fleet is ready for a pilot.
This is a software engineering role, not a control design role. You do not need to derive a whole-body controller. You do need real robotics experience, strong engineering discipline, and genuine interest in the physics of what you are measuring - the control engineers bring the theory and will rely on you to tell them the truth about their code.
WHAT YOU'LL DO
Control Quality Metrics
- Turn qualitative concerns about control quality - smoothness, latency, tracking error, accuracy, and the like - into precise, computable metrics, and build the pipelines that compute them consistently from recorded robot data, simulation runs and live telemetry.
- Own metric definitions and versioning so a number measured today is comparable with the same number measured six months from now.
Evaluation & Test Infrastructure
- Develop automated test harnesses that evaluate control releases deterministically - reproducible, run-to-run comparable, free of the hidden state that makes hardware testing unreliable.
- Wire control evaluation into CI across simulation and hardware-in-the-loop, with pass/fail thresholds so regressions are caught automatically rather than discovered on a customer site.
- Build the tooling that lets engineers compare controller variants and releases side by side.
Fleet-Level Control Quality
- Build the per-robot and per-fleet test suites that establish whether each robot meets the expected control performance bar - runnable by other teams without controls support.
- Track control quality over time and across units - drift, per-robot variation, degradation - and own the path from robot to metric, including the dashboards that make control health legible.
WHAT WE'RE LOOKING FOR
- Robotics experience on real systems - you understand robot data, timing and synchronisation, and the many ways hardware experiments go wrong.
- Strong Python, plus enough modern C++ to work confidently inside a real-time control codebase and instrument it.
- Built test automation, evaluation frameworks or benchmarking infrastructure for complex systems - and got other engineers to actually use them.
- Solid measurement and data analysis judgement: sampling, noise, statistical significance, and knowing when a difference between two runs is real.
- Experience with robot middleware and data formats (ROS/ROS2, message recording and replay, time sync), CI/CD pipelines and Git-based workflows.
Nice to have:
- Familiarity with robot kinematics and dynamics, or prior exposure to control systems — enough to hold an informed conversation about what you are measuring.
- Hardware-in-the-loop test rigs and physical regression testing.
- Physics simulation environments (MuJoCo, Isaac Sim/Isaac Lab) and sim-to-real validation.
- Operating or supporting a fleet of robots or other distributed physical devices.
- Data engineering: pipeline orchestration, time-series databases, large-scale log processing.
- Release management or quality gates for safety-relevant software.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Warszawa, Poland; Almaty, Kazakhstan; Prague, Czechia; Tallinn, Estonia; Tbilisi, Georgia; Budapest, Hungary; Rīga, Latvia; Vilnius, Lithuania; Lisboa, Portugal; Bucharest, Romania; Madrid, Spain
Workplace: fully
Customer Description:
The customer is a global mobility and urban services platform providing transportation and other on-demand services through a digital marketplace.
Project Description:
The work spans deep learning model development, large-scale geospatial data pipelines, and low-latency production serving. The candidate will measure the impact through offline evaluation metrics and the results of online experiments
Project Phase:
ongoing
Soft Skills:
• Ability to influence teammates and cross-functional stakeholders effectively.
• Curious and improvement-oriented mindset with a willingness to challenge existing approaches.
• Excellent ability to communicate complex technical findings in a clear and concise manner.
Hard Skills / Must Have:
• 5+ years of machine learning engineering experience building and deploying deep learning models in production.
• Experience building regression, forecasting, or other supervised machine learning systems for production prediction tasks.
• Expert-level proficiency in Python and its core data science libraries (e.g., PySpark, Pandas, NumPy, Scikit-learn, PyTorch; gradient-boosting libraries such as CatBoost/XGBoost/LightGBM).
• SQL.
• Ability to design an ML system from scratch, including data analysis and processing.
• Experience translating business goals into ML problems with appropriate metrics and non-functional requirements.
• Experience designing and evaluating ML experiments.
• Experience with MLOps tools.
• Experience working with large-scale geospatial and behavioral datasets.
• Experience deploying models to production on ML serving infrastructure and optimizing for latency, and awareness of concept drift and how to detect and manage it.
• Comfort working with large-scale geospatial and behavioral data (e.g., GPS traces, H3 spatial indexing)
Hard Skills / Nice to Have (Optional):
• Academic background in Computer Science, Mathematics, or a related discipline.
• Experience with travel time prediction, traffic estimation, or routing quality.
• Experience with open-source routing engines.
• Knowledge of map matching, speed profiles, road graph tiles, and historical traffic.
• Experience with mapping, location, or geospatial products.
• Experience building products for developing markets.
• Experience with cloud data and machine learning platforms.
Responsibilities and Tasks:
• Design and build machine learning models to improve routing and travel time prediction.
• Develop traffic estimation models using large-scale GPS data.
• Implement map-matching solutions for noisy GPS data.
• Improve travel time calculation, smoothing, and rerouting logic.
• Translate routing objectives into machine learning objectives and evaluation metrics.
• Lead offline and online model evaluation activities.
• Collaborate with backend engineers to deploy low-latency production models.
• Partner with product and operations teams to define new features and requirements.
• Own the production ML lifecycle, including serving, monitoring, drift detection, and retraining pipelines.
🧪
Technology Stack:
}Python, SQL, PySpark, Pandas, NumPy, Scikit-learn, PyTorch, XGBoost, LightGBM, CatBoost, MLOps, ML Lifecycle Management, Production ML Systems, ML Infrastructure, Geospatial Analytics, GPS Data, H3 Spatial Indexing
📝 Additional notes:
The work will be carried out either on client's equipment or via a virtual workstation. Requires
fluent Russian
, as part of the team communication is conducted in Russian
We are looking for a Sales Manager to join our team who can independently source clients, understand their needs, build long-term relationships, and drive deals to completion. We operate in the FinTech and payments industry, working primarily with mid-market businesses. Since our typical sales cycle lasts 4–6 months, we need someone with a systematic approach to managing long-term B2B sales.
Responsibilities:
— Independently prospect and acquire new B2B clients through LinkedIn, email, Telegram, and other channels
— Identify decision-makers and initiate contact with them
— Conduct discovery meetings, uncover business needs, and understand client operations
— Prepare commercial proposals and negotiate contract terms
— Build long-term relationships and drive sales to successful closure
— Manage deals in CRM (HubSpot), keeping pipeline status, next steps, and agreements up to date
— Attend industry events, network with potential clients, and convert contacts into meetings and deals
— Analyze the market, competitors, and payment solutions
Requirements:
— 2+ years of experience in B2B sales
— Proven experience working with mid-market clients
— Experience managing long-cycle sales (preferably 4–6 months)
— Track record in cold outreach and independent lead generation
— Ability to reach decision-makers, lead discovery calls, and identify key business needs
— Strong negotiation skills and a proven ability to close deals
— Solid understanding of CRM best practices and pipeline management
— High level of autonomy, self-reliance, and accountability for results
— Willingness to actively network at events
— English proficiency at Intermediate level or higher
Would be a plus:
— Experience in FinTech or the payments industry (candidates from adjacent B2B tech industries will also be considered)
— Technical literacy and a strong understanding of payment products
Conditions:
— Remote work
— Compensation for English classes
— Flexible start of the working day
УдалённоResponsibilities Independently prospect and acquire new B2B clients through LinkedIn, email, Telegram, and other channels Identify decision-makers and initiate contact with them Conduct discovery meetings, uncover business needs, and understand client operations Prepare commercial proposals and negotiate contract terms Build long-term relationships and drive sales to successful closure Manage deals in CRM (HubSpot), keeping pipeline status, next steps, and agreements up to date Attend industry events, network with potential clients, and convert contacts into meetings and deals Analyze the market, competitors, and payment solutions Requirements 2+ years of experience in B2B sales Proven experience working with mid-market clients Experience managing long-cycle sales (preferably 4–6 months) Track record in cold outreach and independent lead generation Ability to reach decision-makers, lead discovery calls, and identify key business needs Strong negotiation skills and a proven ability to close deals Solid understanding of CRM best practices and pipeline management High level of autonomy, self-reliance, and accountability for results Willingness to actively network at events English proficiency at Intermediate level or higher Would be a plus: Experience in FinTech or the payments industry (candidates from adjacent B2B tech industries will also be considered) Technical literacy and a strong understanding of payment products Conditions Remote work Compensation for English classes Flexible start of the working day
Location: Remote, Austria; Remote, Germany
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior Engagement Manager, PS Sales focused on Germany, you will play a critical role in driving GitLab’s growth in the region by structuring services engagements that create true partnership and shared success with our customers. You will lead efforts to design, position, and close outcome-oriented professional services engagements that translate complex DevSecOps and digital transformation initiatives into clear, measurable mission-critical outcomes.
Reporting to the Senior Manager of Engagement Management, EMEA, you will work at the intersection of technical solutioning and customer requirements, aligning each engagement to their unique needs and objectives. In your first year, you will build trusted advisor relationships with technical leaders and partners to help integrate professional services into account strategies from early discovery through successful delivery. This is a unique opportunity to shape large-scale implementations that improve how customers plan, build, secure, and operate software using GitLab.
Some examples of our projects
Designing and structuring outcome-based professional services engagements that align GitLab capabilities to customers needs
Partnering with account executives, solutions architects, and delivery leaders to turn complex DevSecOps transformations into clear, actionable implementation roadmaps and statements of work
What you'll do
Build trusted advisor relationships with division chiefs, program managers, and technical leaders
Conduct discovery sessions with with prospects and Systems Integrators to understand current-state capabilities, requirements and desired business outcomes
Design outcome-oriented services proposals that align GitLab capabilities with customer success metrics and objectives
Structure engagements and commercial proposals to clear outcomes maintaining flexibility for staff augmentation and packaged offerings when needed
Develop custom-scoped SOWs and staffing plans for complex implementations, engaging with technical architects and delivery leadership to ensure deliverability
Articulate GitLab's services value proposition, catalog offerings, and implementation methodologies in the context of customer requirements
Gain agreement on scope and price while guiding customers through commercial terms, procurement processes, and contracting structures
Manage project- and account-level escalations, ensuring rapid resolution and maintaining customer confidence
Position consulting, training, success tiers, and additional solutions proactively to ensure successful outcomes and long-term customer retention
Facilitate solutioning sessions including implementation roadmapping, enterprise strategy discussions, and executive-level requirements gathering
Drive measurable outcomes by structuring services that support customer success metrics, accurately forecasting services bookings, and tracking key performance indicators related to bookings, margin, and attachment to strategic opportunities.
Own the engagement lifecycle from initial discovery and pre-sales solutioning through scoping, SOW development, staffing alignment, and transition to delivery, ensuring engagements are deliverable, clearly defined, and outcome-oriented.
Influence cross-functional teams by articulating GitLab’s professional services value proposition in the context of federal requirements and compliance frameworks, and by feeding customer insights back into sales, delivery, and practice management.
Partner with regional sales and engagement leadership to prioritize and manage services opportunities that support critical deals and strategic initiatives, providing clear recommendations on risk management, negotiation strategies, and commercial structures.
Foster a culture of enablement and continuous improvement by training field teams on how to position and sell professional services by sharing trends, feedback, and suggestions that improve go-to-market content and operational processes.
What you'll bring
Demonstrated progressive experience structuring, scoping, and selling professional services engagements in the region
Proven success operating in a pre-sales context, conducting discovery, designing outcome-oriented proposals, and developing custom statements of work (SOWs) and staffing plans for large, complex implementation projects.
Solid understanding of software development lifecycle (SDLC), DevOps practices, and cloud transformation initiatives, with the ability to connect technical solutions to mission objectives and measurable business outcomes.
Effective communication and interpersonal skills with executive presence, able to build trusted advisor relationships with division chiefs, program managers, contracting stakeholders, and senior technical leaders.
Highly developed facilitation, negotiation, and problem-solving skills, including the ability to guide customers through acquisition processes, commercial structures, and risk mitigation strategies.
Comfort working cross-functionally with sales, solutions architecture, delivery, and operations teams to align on deal strategy, staffing, and successful execution in a fast-paced environment.
Capacity to work autonomously and asynchronously in a fully remote setting, managing multiple complex opportunities while maintaining accurate forecasting and consistent alignment with GitLab values and goals.
The Professional Services Engagement Management team at GitLab is dedicated to designing and structuring services engagements that set our customers up for successful, long-term adoption of our DevSecOps platform. We build and manage strategic relationships with customers to understand their goals, surface their services needs, and translate complex transformation initiatives into clear, outcome-oriented engagement plans. Composed of experienced services, consulting, and delivery professionals distributed across multiple regions, we operate asynchronously to support field teams, shape implementation strategies, and guide customers through their services journey. We focus on creating scalable engagement models, fostering open communication with internal stakeholders, and adapting our services offerings to the evolving needs of a rapidly maturing organization and its customers. For more on how our team works, see the
Professional Services Engagement Management handbook page
.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Berlin
Who are we?
Tripledot
Studios
is one of the largest independent mobile games companies in the world.
We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.
Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.
Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.
We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who
LOVE
making games.
Our ambition is to be the most successful games company in the world, and we’re just getting started.
This role will be working at Lion Studios
Lion Studios
is a mobile games publisher that works with mobile developers to get their games discovered by players around the world. Headquartered in San Francisco, Lion Studios’ creative and strategy teams utilize their expertise to help game developers break through the noise and grow their businesses.
Since launching in 2018, Lion Studios has driven 90% of its games to the Top 10 in the App Store and Google Play and helped drive 16 games to #1 in the US App Store’s Top Free chart.
Role Overview
As a Game Designer, you will support our Turkish teams and work on our successful casual puzzle titles. You’ll work closely with external development teams, studio managers, and you'll have the exciting opportunity to ideate, craft, and analyze our existing and future puzzle games, contributing to their success.
You’ll thrive here if you’re a versatile game design generalist with a strong interest in level design, comfortable building relationships across multiple teams, and able to balance creative judgement with data-informed decision-making.
Responsibilities
Design engaging & challenging core gameplay loops, player experiences, and monetization strategies.
Partner with external studios in Turkey throughout the new game development pipeline, from early concepts to playable builds.
Design new mechanics that enhance depth and progression while fitting seamlessly into the game’s design approach.
Evaluate player data, identify trends, and optimize level funnels for retention and monetization.
Collaborate cross-functionally with developers to align with overall product goals.
Keep an eye on top-performing games to understand market trends and extract insights.
Required Skills, Knowledge and Expertise
At least 3+ years of experience as a game designer, or in a similar field.
Professional experience in game design, with the ability to contribute across mechanics, systems, progression, and player experience.
Confidence using data and player insights to identify design problems and recommend solutions.
Strong creative and problem-solving skills, with the ability to collaborate and communicate effectively with cross-functional stakeholders to align design with the product vision.
Advanced analytical skills, ability to spot patterns and trends
Experience with balancing levels and funnel optimization
Fluency in Turkish
and the ability to communicate effectively with Turkish-speaking studio teams.
Desired Skills
Game design experience as a publisher in puzzle genres is a huge plus
Experience with liveops, A/B testing, or data-informed iteration cycles.
Familiarity with Figma or similar visual collaboration software for mock-ups
Proficient using AI tools for generating early prototypes
Track record of publishing/working on successful hypercasual, casual, or AAA titles
Working at Tripledot
25 days holiday:
Enjoy 25 days of paid holiday, in addition to bank holidays to relax and refresh throughout the year.
Continuous Professional Development:
Propel your career with continuous opportunities for professional development.
Supplemental Health Insurance:
Continentale: annual budget of 1200 eur - reimbursement for healthcare outside of public plans (glasses, massages, dental treatments etc.)
Public Transportation reimbursement:
100% of public transportation to the office via BVG ticket is covered
Daily Free Lunch:
Order free food from Wolt when at the office
Pension plan
: Opt-in to employer contributed pension plan, operated with Degura
Location: CHN - Shanghai
About Monster Energy:
Forget about blending in. That's not our style. We're the risk takers, the trailblazers, the gamechangers. We're not perfect and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. Our drive is just like our athletes, unrivaled. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become on along the way. We are much more than a brand here. We are a way of life, a mindset. Join us.
A Day in the Life:
Own the order-to-delivery process for customer and internal sample orders, partnering closely with customers, logistics, and finance teams to ensure service excellence, order accuracy, on-time execution, and complete SAP system integrity.
The Impact You'll Make:
Work closely with customers across the assigned territories, in close collaboration with Operations , to address any and all service issues dealing with product supply and sales order fulfillment.
Receive, organize, and manage data entry of all customer orders to support demand fulfillment in support of company sales objectives, and keep close contact with customers to monitor their FG inventory levels and depletions.
Receive, organize, and manage data entry of all internal MAT/TDM sample orders for execution of company marketing & sampling activities in each assigned territory.
Work with internal and external customers to ensure that for sales orders there is a clear transfer of ownership in compliance with company financial accounting procedures, and for sample orders there is timely and accurate accounting of company expenditures.
Represent Company and the brands effectively to all constituencies, maintaining at all times a professional code of conduct in support of this.
Execute special projects or assignments as directed by the Company.
Ensure that Company operational standards, policies, procedures, and practices are followed in a timely and consistent manner.
Perform other duties as assigned.
Who You Are:
Between 3-5 years of experience in Inventory Control and Customer Service
Between 3-5 years of experience in Customer Service or Supply Chain
Computer Skills: Advance user Microsoft office. Ability to use computer-based ERP system, SAP,SAP HANA experience
Language: Fluent English as the role requires collaborative work with regional counterparts
Read our privacy policy here:
Privacy Policy
Location: Hong Kong
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.
Your future role at QRT:
We’re looking for a hands-on Software Engineer to join QRT. In this role you’ll build out the tooling that manages and monitors production datasets, keeping them flowing, observable, and reliable. You’ll work closely with other engineering teams and business stakeholders to deliver a mission-critical platform that prevents material trading losses.
Your responsibilities will include:
Developing and maintaining a platform which ensures the quality and correctness of our datasets, and alerts stakeholders to critical production issues
Maintaining and improving shared libraries which are used by developers across the data-function and facilitate the rapid onboarding of new datasets
Designing, building, and documenting our integrations with other team’s processes, which alert them to relevant issues with our data-pipelines
Supporting users in best practice usage of our tooling, migrating code to the latest standards as well as investigating, debugging and resolving issues with our platform
Your present skillset:
Bachelor's or Master's degree in computer science, engineering or a related field
Previous experience in software engineering, exposure to financial data is a plus
Strong computer science fundamentals and proficiency in Python/Rust
Familiarity with Kubernetes, container orchestration, and cloud infrastructure
Exposure to the front-end, particularly with regards to custom monitoring dashboards, is a plus
Knowledge of data-quality frameworks (Soda/Great Expectations) is a plus
Excellent communication skills and a collaborative mindset to work effectively with other engineers, quants and traders
Ability to work autonomously within a global team
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
Location: Korea
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
We’re looking for a highly motivated, self-starter Account Executive in Korea who is passionate about voice technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with organizations to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology. In this role you will:
1. Build and manage a growing portfolio of new accounts across industries adopting conversational AI to help ElevenLabs meet its revenue goals
2. Identify new business opportunities where ElevenLabs’ conversational AI capabilities can drive user engagement, automation, or cost efficiency
3. Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends
4. Demonstrate expertise—or a strong willingness to learn—about conversational AI and how ElevenLabs’ voice technology can unlock value across customer support, virtual agents, in-app assistants, and more
REQUIREMENTS
- 7-10 years of sales experience in a SaaS or technology company, ideally with exposure to AI, generative AI, LLM-based products, or API platforms
- Strong product intuition — able to learn a technical product deeply and clearly articulate its value to customers. Genuine curiosity about Voice GenAI.
- A proactive, agile operator who moves fast rather than waiting for leads to come in.
- Excellent communication and interpersonal skills, with the ability to build and maintain relationships with stakeholders at all levels of an organization
- A hybrid of customer & product-driven mentality that prioritizes client satisfaction & scale
- Fluency in English and Korean and a deep understanding of the regional and cultural nuances
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
Singapore based, we are looking for an experienced
Senior Product Manager – AI Risk Strategy
to lead the evolution of OKX Buy/Sell Crypto risk control capabilities. You will own the end-to-end risk strategy across transaction risk, fraud prevention, review operations and AI-powered decision making.
At OKX, you will have the opportunity to build next-generation AI-native risk systems that protect millions of users worldwide. You will play a key role in redefining how AI Agents, Large Language Models and intelligent decision engines transform fraud prevention and operational efficiency across one of the world's leading crypto platforms. This role is highly data-driven and requires strong ownership. You will independently analyze risk data, identify fraud patterns, design and optimize risk strategies, and drive the transformation from traditional manual review to AI Agent-powered intelligent review. You will work closely with Engineering and Risk Operations teams to build scalable, intelligent and efficient risk systems.
What You’ll Be Doing
Own the end-to-end risk strategy for Buy/Sell Crypto products, including transaction risk control, fraud prevention, review workflows and decision engines.
Design and continuously optimize the risk control architecture, including rule engines, policy engines, model orchestration and review systems.
Independently analyze large-scale transaction and risk data to identify fraud patterns, emerging attack vectors and strategy optimization opportunities.
Design, implement and iterate risk policies based on data-driven insights to improve fraud detection while minimizing user friction.
Define and optimize model policies, decision thresholds, confidence scores and human-in-the-loop review mechanisms.
Conduct root cause analysis, monitor risk performance and perform A/B testing to continuously improve strategy effectiveness.
Lead the transformation of manual review into AI Agent-powered intelligent review by designing LLM-driven workflows, reviewing policies and operational processes.
Drive continuous optimization of AI Agents through prompt engineering, policy iteration, feedback loops and model evaluation.
Improve operational efficiency by increasing automation, optimizing resource utilization and reducing manual review costs.
Partner closely with Engineering teams to deliver scalable, reliable and intelligent risk systems.
What We Look For In You
Bachelor's degree or above in Computer Science, Artificial Intelligence, Engineering, Mathematics or a related discipline.
5+ years of experience in Risk Strategy, Fraud Detection, Risk Product Management, Trust & Safety or related fields.
Strong experience designing transaction risk strategies, fraud detection systems or review platforms.
Proven ability to independently analyze large datasets, identify risk patterns and translate insights into effective risk strategies.
Strong SQL skills and hands-on experience with data analysis. Experience with Python, Spark or other analytical tools is a strong plus.
Experience designing and optimizing rule engines, policy engines, risk scoring or decision engines.
Strong understanding of fraud prevention, transaction risk, payment risk, account security or related risk domains.
Experience designing model policies, evaluation metrics and strategy iterations for machine learning or AI-based systems.
Hands-on experience with Large Language Models (LLMs), including prompt engineering, policy design, model evaluation and production iteration.
Experience designing or implementing AI Agent workflows, AI-assisted review systems or intelligent operational processes.
Strong analytical thinking with the ability to perform root cause analysis and make data-driven decisions.
Excellent problem-solving skills with a high level of ownership and execution.
Fluent in both English and Mandarin to support cross-functional collaboration in a global environment.
Nice to Haves
Experience in cryptocurrency, fintech, payments, banking or internet risk control.
Experience building AI-native products or AI-powered operational systems.
Familiarity with Retrieval-Augmented Generation (RAG), agent orchestration, tool calling and model evaluation frameworks.
Experience with A/B testing, strategy experimentation and online/offline model evaluation.
Knowledge of AML, KYC, payment fraud, account takeover, scam prevention or identity risk.
Experience working with AI coding assistants or automation tools to improve product development efficiency.
Perks &
Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
#LI-ONSITE
#LI-WWW
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: India
Job Overview:
We are seeking a skilled and experienced Azure DevOps Engineer with a strong background in Linux administration to join our dynamic team. The ideal candidate will be responsible for managing and optimizing our Azure cloud infrastructure, ensuring seamless CI/CD pipelines, and maintaining the security and efficiency of our Linux-based systems.
Senior Level - L3
Required Azure Cloud Experience
Key Responsibilities:
•
Azure Cloud Management:
• Design, implement, and manage Azure infrastructure using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep.
• Automate cloud deployments and manage resources using Azure DevOps pipelines, scripts, and other automation tools.
• Monitor and optimize the performance, scalability, and cost of Azure services.
•
CI/CD Pipeline Development:
• Create, maintain, and enhance CI/CD pipelines for applications and services hosted on Azure.
• Collaborate with development teams to integrate code repositories, build processes, and deployment automation.
• Ensure proper version control and release management practices are followed.
•
Linux Administration:
• Manage and maintain Linux servers, ensuring high availability, security, and performance.
• Perform regular system updates, patches, and configuration management using tools like Ansible, Puppet, or Chef.
• Troubleshoot and resolve system-related issues, including networking, security, and application performance.
•
Security and Compliance:
• Implement and enforce security best practices for both Azure cloud services and Linux servers.
• Conduct regular security assessments and audits, applying patches and updates as necessary.
• Ensure compliance with relevant regulations and industry standards.
•
Collaboration and Support:
• Work closely with development, QA, and operations teams to streamline processes and improve efficiency.
• Provide support for production systems, including on-call rotations as needed.
• Document processes, configurations, and best practices for both Azure and Linux environments.
Required Skills and Qualifications:
•
Technical Expertise:
• Proven experience with Azure cloud services, including VM management, networking, storage, and security.
• Strong proficiency in Linux system administration, including experience with Red Hat, Ubuntu, or CentOS.
• Hands-on experience with CI/CD tools like Jenkins, Azure DevOps, GitLab, or similar.
• Proficient in scripting languages such as Bash, PowerShell, or Python.
• Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.
•
Problem-Solving:
• Strong analytical and troubleshooting skills, with the ability to diagnose and resolve complex technical issues.
• Experience in performance tuning, monitoring, and capacity planning for cloud and Linux environments.
•
Soft Skills:
• Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment.
• Strong documentation skills and attention to detail.
• Ability to work independently and manage multiple priorities in a fast-paced environment.
Preferred Qualifications:
• Certification in Azure (e.g., Azure Administrator, Azure DevOps Engineer).
• Experience with cloud-native tools and services like Azure Kubernetes Service (AKS), Azure Functions, or Logic Apps.
• Experience with network security and VPN configuration in cloud environments.
• Familiarity with database management in cloud environments (SQL, NoSQL).
Location: Poland
Job Overview
We are seeking an experienced
Software QA & Testing Engineer
to join our dynamic team. In this role, you will play a crucial part in ensuring the delivery of high-quality software through robust manual and automated testing processes, as well as adopting modern testing tools including Artificial Intelligence (AI) for enhanced efficiency and accuracy. You will lead the testing efforts to identify and resolve issues, optimize performance, ensure cross-browser compatibility, and verify the scalability and resiliency of software capabilities under load.
As part of our commitment to innovation, your role will involve implementing AI-powered testing methodologies to improve coverage and identify issues proactively. If you have hands-on experience with automation, cross-browser testing, performance testing, and industry-leading tools (including AI-based solutions), this is the perfect opportunity for your career growth.
Key Responsibilities
1. Test Planning & Strategy
Collaborate with product managers, developers, and other stakeholders to understand requirements and define test objectives.
Develop and document comprehensive and efficient test plans, strategies, and exit criteria.
Ensure alignment with Agile frameworks for CI/CD processes to maintain quality standards throughout the software development lifecycle.
2. Manual Testing
Perform detailed
manual testing
on new features, functional flows, and regression cases.
Conduct comprehensive
exploratory testing
for edge-case scenarios to uncover potential issues early.
Ensure test data coverage for all features, workflows, integrations, and edge cases.
3. Automation Testing
Design, build, and maintain
automation frameworks
for both web and mobile applications using leading tools like
Selenium
,
Cypress
,
Playwright
, and/or similar.
Write efficient and reusable automated test scripts to conduct functional and
end-to-end testing
.
Work on integrating automated tests into CI/CD pipelines (e.g., using
Jenkins
,
GitHub Actions
,
AWS CodePipeline
).
4. Cross-Browser & Device Testing
Perform
cross-browser testing
on modern browsers such as Chrome, Firefox, Safari, and Edge using tools like
BrowserStack
,
Lambdatest
, or
CrossBrowserTesting
.
Validate software compatibility across various operating systems and devices (desktop and mobile).
5. Performance Testing
Design and execute performance, scalability, and stress tests for high-traffic systems using tools like
JMeter
,
LoadRunner
, or
Gatling
.
Monitor application response time, throughput, and behavior under heavy load scenarios.
Analyze performance bottlenecks and provide optimization recommendations to development teams.
6. AI-Driven Testing
Utilize AI-powered test case generation tools like
Testim
,
Applitools
, or
Tricentis Tosca
to design smarter and faster test cases.
Work with AI-based tools for visual regression testing and intelligent defect identification.
Stay up to date on emerging trends in AI-driven QA solutions to enhance testing strategies.
7. Defect Reporting & Debugging
Identify, document, and track
bugs and defects
found during testing using bug-tracking tools such as
JIRA
,
Trello
, and
Azure DevOps
.
Actively collaborate with development teams to troubleshoot and resolve defects, ensuring software efficiency and stability.
8. Documentation & Reporting
Create and maintain a repository of detailed test plans, test cases, and test execution reports.
Generate test metrics and quality reports to update stakeholders regarding system quality and testing progress.
Requirements
1. Education & Experience
Bachelor’s degree
in Computer Science, Engineering, or a related field.
4–6 years
of experience in a Software QA role, with a proven track record of delivering high-quality software products.
2. Technical Skills
Strong understanding of
software QA methodologies
,
manual and automation testing standards
, and
testing tools
.
Hands-on experience with
manual and automation testing
of workflows and UI components.
Proficiency with key automation testing frameworks (e.g.,
Selenium, TestNG, Playwright, Cypress, etc.
).
Demonstrated expertise in
cross-browser testing
tools (e.g.,
BrowserStack, LambdaTest, Sauce Labs
).
Advanced knowledge of
performance and stress testing
tools (e.g.,
JMeter, LoadRunner, Gatling, or k6
).
Experience with
API testing tools
such as
Postman, Rest Assured
, or
Karate
.
Proficiency with
test management tools
(e.g.,
Jira, TestRail
) and version control systems like
Git
.
Familiarity with
CI/CD pipelines
and DevOps tools (e.g.,
Jenkins, GitHub Actions, Azure Pipelines
).
3. AI Testing Tools
Hands-on experience with AI-enhanced testing tools such as:
Testim, Tricentis Tosca, Katalon AI, Applitools, and Mabl
AI-powered visual testing and smart test case generation
Understanding of AI-driven methodologies for predictive testing, defect prioritization, and anomaly detection.
4. Additional Skills
Strong troubleshooting and debugging skills with an eye for detail.
Excellent communication skills, with the ability to articulate complex issues to technical and business stakeholders clearly.
Demonstrated ability to work in
Agile environments
and with techniques such as
regression testing
, exploratory testing, and smoke/sanity testing.
Knowledge of scripting languages such as
Python, JavaScript, or Java
is a plus.
Preferred Qualifications
Certifications
:
ISTQB Foundation Level or Advanced Level certification
Certified Selenium Professional, Appium Certification, or equivalent
Experience in Performance & Load Testing
: Hands-on knowledge with tools like JMeter or LoadRunner.
Familiarity with AI/ML Testing
: Experience testing machine-learning models or data-driven AI applications.
Cloud Testing
: Familiarity with testing APIs and services hosted on
AWS
,
Azure
, or
GCP
.
Location: Romania
Job Overview
We are seeking an experienced
Software QA & Testing Engineer
to join our dynamic team. In this role, you will play a crucial part in ensuring the delivery of high-quality software through robust manual and automated testing processes, as well as adopting modern testing tools including Artificial Intelligence (AI) for enhanced efficiency and accuracy. You will lead the testing efforts to identify and resolve issues, optimize performance, ensure cross-browser compatibility, and verify the scalability and resiliency of software capabilities under load.
As part of our commitment to innovation, your role will involve implementing AI-powered testing methodologies to improve coverage and identify issues proactively. If you have hands-on experience with automation, cross-browser testing, performance testing, and industry-leading tools (including AI-based solutions), this is the perfect opportunity for your career growth.
Key Responsibilities
1. Test Planning & Strategy
Collaborate with product managers, developers, and other stakeholders to understand requirements and define test objectives.
Develop and document comprehensive and efficient test plans, strategies, and exit criteria.
Ensure alignment with Agile frameworks for CI/CD processes to maintain quality standards throughout the software development lifecycle.
2. Manual Testing
Perform detailed
manual testing
on new features, functional flows, and regression cases.
Conduct comprehensive
exploratory testing
for edge-case scenarios to uncover potential issues early.
Ensure test data coverage for all features, workflows, integrations, and edge cases.
3. Automation Testing
Design, build, and maintain
automation frameworks
for both web and mobile applications using leading tools like
Selenium
,
Cypress
,
Playwright
, and/or similar.
Write efficient and reusable automated test scripts to conduct functional and
end-to-end testing
.
Work on integrating automated tests into CI/CD pipelines (e.g., using
Jenkins
,
GitHub Actions
,
AWS CodePipeline
).
4. Cross-Browser & Device Testing
Perform
cross-browser testing
on modern browsers such as Chrome, Firefox, Safari, and Edge using tools like
BrowserStack
,
Lambdatest
, or
CrossBrowserTesting
.
Validate software compatibility across various operating systems and devices (desktop and mobile).
5. Performance Testing
Design and execute performance, scalability, and stress tests for high-traffic systems using tools like
JMeter
,
LoadRunner
, or
Gatling
.
Monitor application response time, throughput, and behavior under heavy load scenarios.
Analyze performance bottlenecks and provide optimization recommendations to development teams.
6. AI-Driven Testing
Utilize AI-powered test case generation tools like
Testim
,
Applitools
, or
Tricentis Tosca
to design smarter and faster test cases.
Work with AI-based tools for visual regression testing and intelligent defect identification.
Stay up to date on emerging trends in AI-driven QA solutions to enhance testing strategies.
7. Defect Reporting & Debugging
Identify, document, and track
bugs and defects
found during testing using bug-tracking tools such as
JIRA
,
Trello
, and
Azure DevOps
.
Actively collaborate with development teams to troubleshoot and resolve defects, ensuring software efficiency and stability.
8. Documentation & Reporting
Create and maintain a repository of detailed test plans, test cases, and test execution reports.
Generate test metrics and quality reports to update stakeholders regarding system quality and testing progress.
Requirements
1. Education & Experience
Bachelor’s degree
in Computer Science, Engineering, or a related field.
4–6 years
of experience in a Software QA role, with a proven track record of delivering high-quality software products.
2. Technical Skills
Strong understanding of
software QA methodologies
,
manual and automation testing standards
, and
testing tools
.
Hands-on experience with
manual and automation testing
of workflows and UI components.
Proficiency with key automation testing frameworks (e.g.,
Selenium, TestNG, Playwright, Cypress, etc.
).
Demonstrated expertise in
cross-browser testing
tools (e.g.,
BrowserStack, LambdaTest, Sauce Labs
).
Advanced knowledge of
performance and stress testing
tools (e.g.,
JMeter, LoadRunner, Gatling, or k6
).
Experience with
API testing tools
such as
Postman, Rest Assured
, or
Karate
.
Proficiency with
test management tools
(e.g.,
Jira, TestRail
) and version control systems like
Git
.
Familiarity with
CI/CD pipelines
and DevOps tools (e.g.,
Jenkins, GitHub Actions, Azure Pipelines
).
3. AI Testing Tools
Hands-on experience with AI-enhanced testing tools such as:
Testim, Tricentis Tosca, Katalon AI, Applitools, and Mabl
AI-powered visual testing and smart test case generation
Understanding of AI-driven methodologies for predictive testing, defect prioritization, and anomaly detection.
4. Additional Skills
Strong troubleshooting and debugging skills with an eye for detail.
Excellent communication skills, with the ability to articulate complex issues to technical and business stakeholders clearly.
Demonstrated ability to work in
Agile environments
and with techniques such as
regression testing
, exploratory testing, and smoke/sanity testing.
Knowledge of scripting languages such as
Python, JavaScript, or Java
is a plus.
Preferred Qualifications
Certifications
:
ISTQB Foundation Level or Advanced Level certification
Certified Selenium Professional, Appium Certification, or equivalent
Experience in Performance & Load Testing
: Hands-on knowledge with tools like JMeter or LoadRunner.
Familiarity with AI/ML Testing
: Experience testing machine-learning models or data-driven AI applications.
Cloud Testing
: Familiarity with testing APIs and services hosted on
AWS
,
Azure
, or
GCP
.
Location: India
Job Brief
We are looking to hire a skilled
Accountant & Bookkeeper
to manage our company’s day-to-day financial operations. As part of the Uvation finance team, you will be responsible for maintaining accurate financial records, managing accounts payable and receivable, reconciling bank statements, preparing reports, and ensuring compliance with applicable tax laws and regulations.
You will be working closely with our leadership team to provide financial insights, assist in budgeting, and support decision-making processes.
To ensure success in this role, you should have proven experience in accounting and bookkeeping, strong attention to detail, and hands-on experience with
MS Dynamics
,
NetSuite or QuickBooks
. Ultimately, a top-level Accountant & Bookkeeper will ensure that our company’s finances run smoothly and transparently.
Responsibilities & Duties
Perform full-cycle bookkeeping for multiple entities.
Manage and reconcile accounts payable, receivable, bank accounts, and credit card transactions.
Post and review general ledger entries; ensure accuracy of financial data.
Maintain accounting records in line with
U.S. GAAP
and company policies.
Lead transition to
NetSuite
, including data migration and COA design.
Prepare monthly, quarterly, and annual financial statements.
Support tax filings and liaise with CPAs, auditors, and consultants.
Ensure compliance with local, state, and federal regulations.
Track cash flow, burn rate, and report KPIs to management.
Assist with budgeting, forecasting, and financial planning.
Establish consistent practices for multi-entity and global operations.
Maintain clean audit trails for internal and external audits.
Collaborate with CFO, founders, and cross-border accounting teams.
Qualifications
Bachelor’s degree in Accounting, Finance, or a related field (Master’s preferred).
Professional certification such as CPA, ACCA, or CMA preferred.
Proven experience as an Accountant, Bookkeeper, or in a similar role.
Hands-on experience with
Microsoft Dynamics
,
NetSuite
and/or
QuickBooks
.
Proficiency in Microsoft Excel and other MS Office tools.
Preferred Skills
Strong knowledge of accounting principles and financial regulations.
Excellent analytical and problem-solving skills.
High attention to detail and accuracy in work.
Strong organizational and time management abilities.
Ability to handle sensitive, confidential information with integrity.
Strong communication skills for collaborating with cross-functional teams.
Ability to work independently and meet strict deadlines.
Location: Serbia
Job Overview
We are seeking an experienced
Software QA & Testing Engineer
to join our dynamic team. In this role, you will play a crucial part in ensuring the delivery of high-quality software through robust manual and automated testing processes, as well as adopting modern testing tools including Artificial Intelligence (AI) for enhanced efficiency and accuracy. You will lead the testing efforts to identify and resolve issues, optimize performance, ensure cross-browser compatibility, and verify the scalability and resiliency of software capabilities under load.
As part of our commitment to innovation, your role will involve implementing AI-powered testing methodologies to improve coverage and identify issues proactively. If you have hands-on experience with automation, cross-browser testing, performance testing, and industry-leading tools (including AI-based solutions), this is the perfect opportunity for your career growth.
Key Responsibilities
1. Test Planning & Strategy
Collaborate with product managers, developers, and other stakeholders to understand requirements and define test objectives.
Develop and document comprehensive and efficient test plans, strategies, and exit criteria.
Ensure alignment with Agile frameworks for CI/CD processes to maintain quality standards throughout the software development lifecycle.
2. Manual Testing
Perform detailed
manual testing
on new features, functional flows, and regression cases.
Conduct comprehensive
exploratory testing
for edge-case scenarios to uncover potential issues early.
Ensure test data coverage for all features, workflows, integrations, and edge cases.
3. Automation Testing
Design, build, and maintain
automation frameworks
for both web and mobile applications using leading tools like
Selenium
,
Cypress
,
Playwright
, and/or similar.
Write efficient and reusable automated test scripts to conduct functional and
end-to-end testing
.
Work on integrating automated tests into CI/CD pipelines (e.g., using
Jenkins
,
GitHub Actions
,
AWS CodePipeline
).
4. Cross-Browser & Device Testing
Perform
cross-browser testing
on modern browsers such as Chrome, Firefox, Safari, and Edge using tools like
BrowserStack
,
Lambdatest
, or
CrossBrowserTesting
.
Validate software compatibility across various operating systems and devices (desktop and mobile).
5. Performance Testing
Design and execute performance, scalability, and stress tests for high-traffic systems using tools like
JMeter
,
LoadRunner
, or
Gatling
.
Monitor application response time, throughput, and behavior under heavy load scenarios.
Analyze performance bottlenecks and provide optimization recommendations to development teams.
6. AI-Driven Testing
Utilize AI-powered test case generation tools like
Testim
,
Applitools
, or
Tricentis Tosca
to design smarter and faster test cases.
Work with AI-based tools for visual regression testing and intelligent defect identification.
Stay up to date on emerging trends in AI-driven QA solutions to enhance testing strategies.
7. Defect Reporting & Debugging
Identify, document, and track
bugs and defects
found during testing using bug-tracking tools such as
JIRA
,
Trello
, and
Azure DevOps
.
Actively collaborate with development teams to troubleshoot and resolve defects, ensuring software efficiency and stability.
8. Documentation & Reporting
Create and maintain a repository of detailed test plans, test cases, and test execution reports.
Generate test metrics and quality reports to update stakeholders regarding system quality and testing progress.
Requirements
1. Education & Experience
Bachelor’s degree
in Computer Science, Engineering, or a related field.
4–6 years
of experience in a Software QA role, with a proven track record of delivering high-quality software products.
2. Technical Skills
Strong understanding of
software QA methodologies
,
manual and automation testing standards
, and
testing tools
.
Hands-on experience with
manual and automation testing
of workflows and UI components.
Proficiency with key automation testing frameworks (e.g.,
Selenium, TestNG, Playwright, Cypress, etc.
).
Demonstrated expertise in
cross-browser testing
tools (e.g.,
BrowserStack, LambdaTest, Sauce Labs
).
Advanced knowledge of
performance and stress testing
tools (e.g.,
JMeter, LoadRunner, Gatling, or k6
).
Experience with
API testing tools
such as
Postman, Rest Assured
, or
Karate
.
Proficiency with
test management tools
(e.g.,
Jira, TestRail
) and version control systems like
Git
.
Familiarity with
CI/CD pipelines
and DevOps tools (e.g.,
Jenkins, GitHub Actions, Azure Pipelines
).
3. AI Testing Tools
Hands-on experience with AI-enhanced testing tools such as:
Testim, Tricentis Tosca, Katalon AI, Applitools, and Mabl
AI-powered visual testing and smart test case generation
Understanding of AI-driven methodologies for predictive testing, defect prioritization, and anomaly detection.
4. Additional Skills
Strong troubleshooting and debugging skills with an eye for detail.
Excellent communication skills, with the ability to articulate complex issues to technical and business stakeholders clearly.
Demonstrated ability to work in
Agile environments
and with techniques such as
regression testing
, exploratory testing, and smoke/sanity testing.
Knowledge of scripting languages such as
Python, JavaScript, or Java
is a plus.
Preferred Qualifications
Certifications
:
ISTQB Foundation Level or Advanced Level certification
Certified Selenium Professional, Appium Certification, or equivalent
Experience in Performance & Load Testing
: Hands-on knowledge with tools like JMeter or LoadRunner.
Familiarity with AI/ML Testing
: Experience testing machine-learning models or data-driven AI applications.
Cloud Testing
: Familiarity with testing APIs and services hosted on
AWS
,
Azure
, or
GCP
.
Location: India
Job Overview
:
As a
Certified Public Accountant - Senior
at Uvation, you will play a pivotal role in maintaining financial integrity, ensuring compliance, and driving transparency across our operations. You’ll be responsible for core financial reporting, audits, tax compliance, and contributing to strategic financial planning. Collaborating across Uvation Entities, you’ll help support Uvation’s rapid growth and operational excellence.
Key Responsibilities
Prepare, review, and analyze financial statements and reports in accordance with US GAAP, IFRS, or other applicable standards.
Lead monthly, quarterly, and year-end close processes, including journal entries, account reconciliations, and variance analysis.
Support and coordinate internal and external audits; serve as point of contact for auditors and ensure timely and accurate submissions.
Manage tax compliance activities including federal, state, and local filings; support preparation of necessary documentation for tax filings.
Assist with budget preparation, forecasting, and cash flow monitoring.
Identify financial risks and inefficiencies; recommend cost-saving initiatives and process improvements.
Support the development, implementation, and monitoring of internal controls and accounting policies.
Collaborate with FP&A, operations, legal, and leadership to provide financial insight and support business initiatives.
Handle multi-entity and multi-currency transactions (as applicable).
Mentor and review the work of junior accounting staff and ensure best practices are followed.
Qualifications
Bachelor's degree in Accounting, Finance, or related field. Master’s degree preferred.
CPA certification is highly preferred.
10+ years of progressive accounting experience, with at least 8 years in a senior or supervisory capacity.
In-depth knowledge of GAAP, IFRS, financial reporting, and regulatory compliance.
Technical Skills
Proficient in ERP/accounting systems (e.g. MS Dynamics & Netsuite ) strong MS Excel skills required.
Familiarity with tools for budgeting, reporting, forecasting, and audit support.
Comfortable working with international and multi-currency accounting processes.
Strong analytical and financial modelling skills.
Soft Skills & Attributes
High ethical standards and ability to handle sensitive and confidential data.
Detail-oriented with strong organizational skills.
Effective communicator, capable of explaining complex financial topics to non-finance teams.
Proactive problem solver with a continuous improvement mindset.
Ability to manage multiple deadlines and competing priorities.
Team-oriented and collaborative across departments.
Bonus / Preferred
Experience in US tax filings, IRS compliance, or international tax matters.
Background in tech, SaaS, or startup environments; familiarity with global or multi-entity structures.
Exposure to automation, process improvement, or scripting in finance-related tasks.
Location: San Francisco; New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Forward Deployed Engineers work directly with the largest and fastest-growing AI companies in the world, owning their technical outcomes on Baseten and taking on the hardest problems in serving and improving models at scale. The work spans the model lifecycle: inference, post-training, and the systems that tighten the loop between them.
- Act as each account's de facto CTO on Baseten, with final accountability for how their workloads are designed, run, and scaled.
- Take customer objectives from vague to shipped: frame the problem, define the spec and success criteria, build the PoC, and carry it through to production quickly, using the right tools for the problem.
- Design the evals and benchmarks that isolate where quality or performance falls short, then close the gap yourself, whether that means optimizing inference, improving the model through post-training, or reworking the eval itself.
- Be the first responder to mission-critical failures including triage, owning the fix directly or route to the owning team and stay accountable until it ships.
- Build internal systems so that each engagement is faster than the last. This includes tooling and automation for eval and deployment infrastructure, and the recipes and reference implementations that make the product more self-serve.
- Shape the product itself, channeling what your accounts need into the roadmap and shipping fixes and features into Baseten's codebase yourself.
- Do all of this across multiple accounts at once, sequencing the work, pulling in the right people at the right time, and keeping customers and internal stakeholders aligned on status and risk.
REQUIREMENTS
- Minimum 1-2 years of software engineering experience, shipping and maintaining code in large production systems, ideally with breadth across the stack
- Experience debugging complex production issues - working through logs, metrics, and traces to root-cause problems in unfamiliar systems
- Confidence owning ambiguous technical problems. This includes triaging, making decisions under uncertainty, and knowing when to pull in other engineers who own the underlying systems
- Motivation beyond pure engineering. An interest in wanting to work directly with customers, understand their problems firsthand, and influence the product
- Clear communication on complex technical topics, whether you're talking to a customer's engineers or their leadership
- Genuine curiosity about AI inference and training, and a drive to become an expert in the infrastructure powering it
- Willingness to respond to customers outside regular working hours and participate in an on-call rotation
- Excitement about solving problems for some of the largest and fastest-growing companies in the world running mission-critical AI workloads
WHAT YOU'LL BRING
We don't expect any one person to cover all of this - the strongest candidates may spike in one or two of the following:
- Depth in a core infrastructure domain such as storage systems or networking (anywhere from the cloud layer to cluster interconnects like InfiniBand and RoCE)
- Experience operating distributed compute platforms like Kubernetes, Slurm, or Ray, especially for GPU workloads
- A detailed understanding of LLM architectures and modern inference engines like vLLM, TensorRT-LLM, or SGLang
- The ability to profile and optimize GPU workloads, in training or serving
- Hands-on experience with post-training techniques like SFT and RL, or a broader deep learning background plus fluency in a tensor computation library like PyTorch or JAX
- Operational depth - running on-call, leading incident response, debugging distributed systems under pressure
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Strava SF
Workplace: Hybrid
ABOUT STRAVA
Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today.
Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward.
About This Role:
Strava is hiring an Engineering Manager on our Subscriptions team. This team owns Strava's payments and subscription platform, both the infrastructure and the user-facing products it powers. We're looking for a technical manager who still writes code and wants to grow a small team of backend engineers while owning some of Strava's most critical systems.
We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco office, three days per week.
What You'll Do:
- Lead a team of server engineers building Strava's subscription and payments backend, systems that power how millions of athletes subscribe, pay, and manage their subscriptions.
- Own the technical roadmap for payments and subscription infrastructure. You'll partner closely with product and engineering leadership on priorities, balancing platform investment, reliability, and delivery.
- Drive both platform and product work. Your team owns our subscription infrastructure and the user-facing products it powers.
- Stay hands-on in the codebase. You'll write code, own technical designs, and make architecture decisions alongside your team, not just review them.
- Hire, develop, and retain engineers at multiple levels. Coach people through career growth, give direct feedback, and build a team that gets stronger over time.
- Keep payment and subscription services reliable and healthy. You own on-call, incident response, and the operational bar for your team's systems.
- Partner cross-functionally with product, design, accounting, and marketing to identify the highest-leverage work and ship it.
- Treat ownership seriously. Your team's systems handle payments, billing, and subscription state for millions of users. You take reliability, correctness, and incident response personally.
- Grow your engineers. You'll manage people at different career stages and help each one develop, whether that's getting someone to senior or helping a more experienced engineer take on larger technical ownership.
- Build for the long term. You make pragmatic tradeoffs between shipping now and investing in the platform, and you can explain those tradeoffs clearly to partners.
- Stay technical. You're not managing from a distance. You have informed opinions on system design and you can unblock engineers by jumping into the code.
- Make the team better. You care about how the team works, not just what they ship. You'll fix what's slowing people down and build processes that stick.
What You'll Bring to the Team:
- 5+ years of professional software development experience in backend engineering.
- 2+ years of engineering management experience, or demonstrated tech lead experience where you were already doing the job of coaching engineers, driving technical direction, and owning delivery for a team.
- Proficiency in at least one of Strava's backend languages (Ruby, Java, Scala, Python, or Go).
- Experience with distributed systems and production infrastructure (MySQL, Redis, Kafka, Kubernetes, or similar).
- Experience with, or genuine interest in, payments, billing, or subscription systems.
- A track record of helping engineers grow through direct feedback, mentorship, and sponsorship.
- We'd love to talk to you about the future of Strava’s core technologies and your role in developing them
For more information of benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub.
WHY JOIN US?
Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals.
Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact.
When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together.
Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.
Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub