Location: Remote - United Kingdom
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
This role is open to candidates based in the UK or the Netherlands.
Reddit is where people come to discover, research, and discuss products that inform their purchasing decisions. Shopping, across advertising and organic experiences, is a high priority for the company, and product catalogs are foundational to that work.
We are looking for an Engineering Manager to lead Reddit’s Product Catalogs team. You will lead a full-stack engineering team responsible for the infrastructure and advertiser-facing experiences that help thousands of advertisers onboard, organize, and manage millions of products. Your team will build intuitive UIs, robust APIs, and scalable backend systems for catalog ingestion, storage, and product data management.
These systems power Dynamic Product Ads (DPA) and organic shopping, connecting users with relevant products in the context of their interests and conversations. Someone browsing r/golf might discover popular golf clubs, while someone reading a discussion about sunglasses in r/BuyItForLife might see the exact models being discussed. Your team will make it easier for advertisers to bring their products to Reddit and participate in these moments of discovery.
In this role, you will set technical direction, develop engineers, and drive execution across the catalog platform and advertiser experience. You will work closely with cross-functional partners to understand customer needs and make catalog onboarding and management seamless. You will also partner with Reddit’s Knowledge Graph teams to support organic shopping experiences.
This role calls for strong technical judgment, people leadership, and a focus on customer needs. It is based in Reddit’s Amsterdam or London office, with a team working across European time zones.
Responsibilities:
Create a world class catalogs system that can scale to support billions of products
Work closely with product managers and designers to craft compelling user experiences
Collaborate with a wide range of teams from Ad Formats to Ad Delivery to ensure successful end-to-end delivery of product ads
Establish and manage to SLAs within your team
Be a strong mentor and cross-functional advocate for your team
Contribute meaningfully to team strategy. We give everyone a seat at the table and encourage active participation in planning for the future. Don’t just come along for the ride.
Required Qualifications:
7+ years of experience in backend or full stack product development
2+ years of experience managing engineering teams
You're highly technical, enough to solve almost any problem your team has yourself, but you prefer to guide your team into solving them.
Ability to work independently. You’ll be working with stakeholders that are mostly based in North America. You need to be able to make decisions and solve problems autonomously.
Excellent communication skills. You must be able to collaborate effectively with teams in a fully-remote environment and discuss complex topics with technical and non-technical audiences.
Benefits:
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Group Personal Pension Scheme with Employer match
Private Medical and Dental Scheme
Income Replacement Programs
Bike to Work scheme
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
УдалённоRemote - United Kingdom; This role is open to candidates based in the UK or the Netherlands; It is based in Reddit’s Amsterdam or London office, with a team working across European time zones
Location: London
Workplace: Hybrid
Why loveholidays?
We’re on a mission to open the world to everyone, giving our customers unlimited choice, unmatched ease and unmissable value for their next getaway.
Our trailblaze together culture is what drives our success, powered by our people and the way they work. Using progressive technology, we drive cutting-edge innovation and improve how our customers discover, book and experience their holidays. You’ll have the opportunity to accelerate your growth through meaningful challenges, new experiences and the freedom to shape your own path. You’ll create impact for our future by taking ownership, contributing to shared goals and helping shape what comes next, all as part of our enhanced international community of talented, collaborative and passionate teams.
The difference you’ll make
You’ll lead the Applied AI team within the wider AI Centre of Excellence, setting technical direction and managing the engineers who build, administer and improve the AI-enabled systems and SaaS platforms that support our customers and colleagues. You’ll work closely with business verticals, engineering, security and senior stakeholders to turn business priorities into a clear roadmap and measurable outcomes.
You’ll combine people management with hands-on technical leadership across applied and agentic AI workflows, SaaS services, integrations and data pipelines. You’ll guide architecture and delivery, develop the team’s capabilities and own relationships with third-party SaaS suppliers, ensuring our platforms are reliable, secure and deliver value for money.
The team sits within Business IT & AI Operations. You’ll provide the direction, governance and operational ownership that help loveholidays scale intelligent automation and well-run business systems safely and effectively, balancing new opportunities with service quality, cost and long-term maintainability.
Your day-to-day:
- Lead and line-manage Applied AI engineers, setting clear goals, providing regular feedback and coaching, supporting career development and managing performance. Help recruit and onboard new team members as the team grows.
- Set the team’s technical direction and delivery roadmap with business and technology stakeholders, prioritising work, allocating capacity and managing dependencies to deliver measurable business outcomes.
- Provide hands-on technical leadership for applied and agentic AI workflows, integrations and automation pipelines, guiding architecture, reviewing designs and code, and contributing to complex or high-impact engineering work.
- Set standards for building, testing and evaluating tool-using agents with Google ADK or similar frameworks, including safe tool access, human oversight and production readiness.
- Own operational performance across AI-enabled services and SaaS platforms, including service health, access, releases, usage and cost. Lead incident escalation and continuous improvement, with clear evaluation criteria and service measures.
- Own account management for third-party SaaS suppliers, acting as the primary relationship owner and running regular service and roadmap reviews. Hold suppliers accountable for agreed service levels, resolve escalations and coordinate their delivery with internal priorities.
- Manage the supplier and contract lifecycle with procurement, finance, legal and security, covering selection, onboarding, licensing, commercial negotiations, contractual obligations, renewals, notice dates and exit planning. Own spend management for the team’s SaaS and AI services, working with finance to forecast and manage costs against agreed budgets, explain variances and optimise licences and consumption. Track adoption, spend and value, and inform build-versus-buy decisions.
- Establish engineering and operational standards for secure change management, documentation, runbooks and governance. Communicate progress, risks and trade-offs clearly, and ensure services have clear ownership and support arrangements.
Your skillset:
- People & Delivery Leadership: Experience line-managing engineers, coaching and developing people, managing performance and leading delivery. Able to set direction, prioritise competing demands and build a collaborative, accountable team.
- SaaS Supplier & Account Management: Experience owning third-party supplier relationships, service reviews, escalations, licensing and renewals. Commercial judgement and the ability to work with procurement, finance, legal and security to improve service quality and value for money.
- SaaS Platform Ownership: Experience leading the administration and lifecycle management of cloud-based business systems, including configuration, user access, environments, integrations and releases.
- Applied AI & Technical Direction: Strong experience delivering applied and agentic AI workflows that combine models, tools and business data, including orchestration, retrieval-augmented generation and evaluation. Able to make architecture and build-versus-buy decisions, establish engineering standards and guide others. Familiarity with Google ADK or similar frameworks is desirable.
- Engineering & Integration: Strong hands-on engineering skills and experience designing and reviewing REST API, webhook and event-driven or scheduled integrations between SaaS platforms, AI services and backend systems.
- Operational & Stakeholder Leadership: Experience operating production services in cloud environments, preferably Google Cloud Platform, using CI/CD, observability, incident management and secure operational practices. Able to explain technical and commercial trade-offs, influence stakeholders and connect delivery to business outcomes.
The interview journey
- Intro with a member of the Talent Acquisition team - 30 mins
- 1st stage video interview with the hiring manager - 1 hour
- Applied AI technical leadership, team management and SaaS supplier management task
- Final stage with Director of Applied AI and senior stakeholders - 1 hour
Perks of joining us:
- Company pension contributions at 5%
- Individualised training budget for you to learn on the job and level yourself up
- Discounted holidays for you, your family and friends
- 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum
- Ability to buy and sell annual leave
- Cycle to work scheme, season ticket loan and eye care vouchers
Our commitment to inclusion
At loveholidays, we focus on creating an inclusive environment where everyone can contribute, grow and succeed. We value the different perspectives, experiences and ideas each person brings, because they help us work better together, challenge our thinking and make stronger decisions.
As we continue to grow and evolve, we want everyone to feel supported and able to do their best work. We’re also committed to making our hiring process accessible, so please let our Talent Acquisition team know if you need any adjustments at any stage.
Location: Europe, US
Company Intro
At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, poolside, Recraft, and Shopify.
Recently, we secured strategic investment led by Bezos Expeditions with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA, UK, the Netherlands, Serbia, and more. We are headquartered in Amsterdam.
About the position
We are seeking an exceptional
Delivery Lead
to own the successful execution of complex AI data projects across a portfolio of clients. This is a hands-on role combining project leadership, client management, and operational excellence to ensure projects are delivered to the highest standards of quality, on time, and within target margins.
As a Delivery Lead, you will manage virtual, cross-functional teams and coordinate engineers, supply managers, researchers, science teams, product teams, and other internal functions as required. You will work closely with clients to understand their requirements, manage expectations, resolve issues, and ensure delivery consistently meets or exceeds expectations.
The role requires someone who can operate comfortably at both the strategic and operational level, taking ownership of the overall delivery outcome while being prepared to get into the detail when required.
Key Responsibilities
Own end-to-end delivery
across a complex portfolio of projects, taking ultimate accountability for data quality, timelines, client outcomes, unit economics, gross margin, and transparent stakeholder reporting.
Lead cross-functional delivery teams
and project managers, ensuring projects remain on track, risks and issues are proactively identified and resolved, and stepping in as a hands-on Delivery Project Manager when required.
Drive operational excellence
across the delivery function, overseeing planning, resource allocation, internal and external communication, project reporting, status updates, retrospectives, and execution standards.
Partner closely with Business Development
to scope new opportunities, shape project proposals, optimize delivery models, and successfully transition prospects into high-quality, commercially viable engagements.
Build strong client relationships
throughout project execution, managing complex technical stakeholders, maintaining clear communication, addressing delivery challenges, and ensuring outcomes that drive client satisfaction and retention.
Drive team performance and continuous improvement
, motivating delivery teams, identifying opportunities to increase efficiency, improving processes and workflows, and developing new approaches to enhance execution quality.
Lead the adoption of delivery improvements
, rolling out new processes, tools, and ways of working across the organization while gathering feedback, measuring impact, and continuously refining the delivery model.
Required Skills
Proven experience in the AI space
, particularly within startups, including working with clients and managing teams or projects at scale.
Experience managing complex projects
including discovery, decomposition, scope planning, implementation and adoption
Client facing experience
; a consulting background reaching levels of Engagement Manager or Associate Partner
Deep understanding of AI and GenAI
: technology and market trends, basic knowledge of statistics, ML and data science, data generation
Background in STEM
: BS or MS in computer science, maths, physics, etc.
What we can offer
You will be part of an international, dynamic environment that drives innovation and sets new standards in the AI and technology sector.
Competitive compensation package.
Flexible, fully remote schedule.
Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts.
Projects with customers that are AI industry leaders and well-known household names
Equal Opportunity Employer
Toloka is committed to providing equal opportunity and fostering an inclusive environment. We welcome applications from all qualified individuals and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender identity, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Selection decisions are made based on qualifications, merit, and business need.
[Important Notice] Scam Alert Regarding Fake Job Postings
It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants. Please be aware:
Official Communication: Our recruiting team will only contact you from an official "
toloka.ai
" email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts.
Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process.
Official Listings: All legitimate job openings are posted on our official careers page:
https://toloka.ai/careers#job-list
What to do:
If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn. We are taking this matter very seriously and are working with the appropriate parties to resolve it.
Thank you for your vigilance!
To learn how we collect, use, disclose, and store personal data, check out our
Privacy Notice
.
Location: Australia
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
The
Site Selection & Colocation Manager
is responsible for identifying, evaluating, and securing optimal locations for new data center developments and colocation expansions. This role combines real estate strategy, technical due diligence, market analysis, and vendor management to support the company’s global data center growth. The manager will collaborate closely with engineering, construction, finance, legal, and network planning teams to ensure that selected sites meet operational, technical, and business requirements.
Your responsibilities will include:
Site Selection & Market Analysis
Lead the end-to-end site selection process for new data center facilities.
Conduct market assessments, including power availability, fiber connectivity, land suitability, regulatory requirements, and risk factors.
Build and maintain market intelligence on emerging data center regions, supply trends, energy markets, and colocation pricing.
Evaluate and shortlist candidate sites through comparative analysis, scoring models, and feasibility studies.
Technical & Environmental Due Diligence
Coordinate environmental, geotechnical, hydrological, and seismic assessments.
Assess infrastructure availability (power, water, fiber) and future scalability.
Evaluate construction constraints, climate conditions, logistics access, and permitting feasibility.
Work with engineering teams to ensure sites meet mechanical, electrical, and network resilience requirements.
Colocation Strategy & Vendor Management
Identify colocation providers and evaluate facilities based on technical specifications, SLA requirements, and cost structure.
Lead RFPs, negotiations, and contract execution with colocation and connectivity partners.
Manage colocation lifecycle: renewals, expansions, migrations, and optimization of space/power allocations.
Monitor vendor performance against SLA, uptime, compliance, and efficiency metrics.
Cross-Functional Collaboration
Work with data center design and construction teams to validate site feasibility and development timelines.
Partner with legal on contract terms, property acquisition, lease terms, and regulatory compliance.
Support finance with CapEx/OpEx modeling, ROI calculations, and business case development.
Coordinate with public authorities, utilities, and permitting agencies as needed.
Risk Assessment & Compliance
Evaluate risks related to natural hazards, geopolitical risk, security, environmental constraints, and utility reliability.
Ensure compliance with local regulations, zoning laws, and corporate standards.
Maintain documentation for audits, reporting, and internal approvals.
We expect you to have:
Bachelor’s degree in Real Estate, Engineering, Business, Geography, or related field.
5–8+ years of experience in site selection, real estate development, colocation management, or data center infrastructure.
Strong understanding of data center power, cooling, and network requirements.
Experience in evaluating colocation providers and negotiating leases/SLAs.
Analytical skills in market research, cost modeling, and risk assessment.
Ability to manage multiple simultaneous projects across regions.
Excellent communication, negotiation, and stakeholder management skills.
It will be
an added bonus
if you have:
Experience with hyperscale or large-scale data center development.
Knowledge of utility procurement (power, water), renewable energy markets, and substation planning.
Familiarity with geospatial tools (GIS), risk modeling, or data center capacity planning.
Understanding of permitting processes and environmental regulations.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: München, Germany
Workplace: Hybrid
At Knuspr, Finance is not a back-office function. It’s a core driver of how we make decisions, run smarter operations, and scale sustainably.
As a Finance Business Partner, you will act as a critical co-pilot to our Operations (Fulfilment Centres) and Commercial leadership. This is a hands-on, high-exposure role where you will be embedded directly in the day-to-day business—turning financial data and operational metrics into actionable decisions that directly influence our profitability and growth.
WHY THIS ROLE IS EXCITING
- Direct business impact: Your insights, business cases, and analysis will directly shape operational efficiency, commercial initiatives, and unit economics.
- True business partnering: You won't just report numbers after month-end; you’ll work side-by-side with Operations and Commercial Directors to challenge how things are done and drive change.
- Speed and autonomy: We move fast and avoid rigid corporate red tape—good ideas and viable solutions get tested and implemented quickly without layers of approval.
- Cross-functional visibility: You will act as the key bridge connecting finance, logistics, commercial strategy, and leadership across the business.
- Dynamic scale: You will solve real operational and systemic challenges in a fast-paced, high-volume e-commerce environment.
WHAT YOU WILL OWN AND DELIVER
- Partner with leadership: Serve as the trusted finance partner for Operations and Commercial Directors, challenging existing setups and advising on strategic and operational decisions.
- Drive performance analysis: Deliver ad-hoc deep dives, scenario modelling, and business cases to evaluate new projects, operational investments, and commercial opportunities.
- Identify efficiencies: Spot operational bottlenecks, cost drivers, and financial risks across our fulfilment network and commercial operations, proposing concrete solutions to fix them.
- Financial planning & reviews: Collaborate closely on budgeting, rolling forecasts, monthly financial performance reviews, and audit support.
- Process & system improvements: Actively participate in developing internal financial tools, automating reporting, and establishing scalable internal controls that support rapid growth.
WHAT WE ARE LOOKING FOR
- Proven finance background: Solid experience as a Senior Controller, Financial Analyst, or Finance Business Partner, ideally in a fast-paced, operational, or retail/e-commerce environment.
- Commercial mindset: Strong grasp of business economics and core accounting principles, with the ability to translate complex financial data into practical operational insights.
- Stakeholder management: Demonstrated ability to communicate effectively, build trust, and constructively challenge non-finance stakeholders and directors.
- Hands-on analytical skills: Advanced Excel proficiency (complex formulas, PivotTables, data manipulation) and comfortable working directly with large datasets.
- Ownership and initiative: A proactive, solutions-oriented approach with the confidence to dive deep into details and take accountability for outcomes.
- Languages: Working proficiency in English (communicative level for business reporting and collaboration).
WHAT WE OFFER
- Unlimited Vacation: Unlimited vacation days for a balanced work-life balance
- Tax-Free Benefits: Monthly vouchers of €45 tax-free (via become.1)
- Remote Allowance: €20 monthly allowance towards internet costs
- Exclusive Shopping Perk: Knuspr Xtra account with 10% cashback in the form of Knuspr Credits
- Corporate Discounts: Great discounts via CorporateBenefits (fitness, travel, tickets, shopping, and much more)
- Culture & community – A collaborative, informal team that pulls together, alongside legendary company events and an open-feedback environment.
#LI-FK1
Location: Remote, India
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.
As a Strategic Account Executive for our Mumbai territory, you'll drive GitLab's growth across large Banking, Financial Services and Insurance (BFSI) institutions, alongside leading enterprises and conglomerates headquartered in the city. It will be a blended territory of Enterprise and Conglomerates slightly more BFSI heavy. You'll help these organisations adopt, implement, and expand their use of our AI-powered DevSecOps platform, guiding them through modernisation and DevSecOps transformations while building a pipeline that translates into measurable Net ARR and long-term expansion.
You'll bring an understanding of the software development lifecycle, including continuous integration and continuous delivery (CI/CD) automation, secure development practices, and infrastructure modernisation. You'll apply it to the realities of regulated industries, where security, compliance, auditability, and data residency shape every technology decision. You'll connect customer stakeholders with GitLab's field organisation so GitLab is seen as a trusted, long-term partner across the full sales cycle.
In your first year, you'll be expected to build a strong BFSI and Enterprise portfolio across your territory, create repeatable sales motions aligned to how regulated financial institutions and large enterprises buy and adopt platforms, and consistently forecast and report on deal progress and account health.
What you'll do
Lead and grow GitLab's largest and most strategic BFSI, Enterprise, and Conglomerate prospects and customers in Mumbai, focusing on organisations that run mission-critical software delivery at scale
Drive the full enterprise sales cycle, from prospecting and pipeline generation through qualification, evaluation, negotiation, and close, including the longer procurement, vendor risk, and security review processes typical of regulated financial institutions
Provide hands-on account leadership throughout the pre- and post-sales process to ensure a smooth customer experience and strong adoption of GitLab's AI-powered DevSecOps platform
Position GitLab against regulatory and compliance priorities (for example RBI, IRDAI, and SEBI guidelines on IT governance, outsourcing, cyber resilience, and data localisation), working with Solutions Architects and Security specialists on deployment options such as self-managed and GitLab Dedicated
Partner closely with Sales Development Representatives, Solutions Architects, Customer Success, system integrators, and strategic channel partners to generate qualified opportunities, co-sell, and execute account strategies that drive new business and expansion
Develop and maintain detailed account plans for priority customers, including opportunity mapping, stakeholder alignment, and multi-threaded engagement across engineering, security, risk and compliance, platform, infrastructure, procurement, and business leaders
Tailor your approach to each segment: a compliance- and risk-led value story for BFSI, and a modernisation-, productivity-, and consolidation-led story for enterprises and conglomerates with multiple business units
Coordinate and facilitate the involvement of cross-functional GitLab team members, including sales leadership, marketing, product, legal, and support, to progress opportunities and deliver an excellent customer experience
Prepare activity and forecast reports, contribute to forecasting and pipeline reviews, and share root cause analysis and lessons learned from wins and losses with account managers, marketing, and technical teams
Act as the voice of the customer by contributing product ideas to our public issue tracker, and by preparing and delivering customer-facing and internal presentations, quotes, proposals, and formal sales documents that address BFSI and enterprise business challenges and clearly communicate long-term value and outcomes.
What you'll bring
Deep experience driving complex B2B software sales cycles with large enterprise customers, ideally in DevSecOps, software development tools, or adjacent SaaS and infrastructure solutions that support the software development lifecycle
A track record selling into BFSI institutions in India, with an understanding of their buying behaviour, long evaluation cycles, vendor risk assessments, and procurement processes (experience across both BFSI and large enterprises or conglomerates is a strong plus)
Ability to prospect, build pipeline, and close new business while expanding strategic relationships within large accounts across Mumbai
Strong understanding of modern software delivery, including CI/CD, secure development practices (DevSecOps, supply chain security), and cloud and infrastructure modernisation, with the ability to connect platform capabilities to customer outcomes
Working familiarity with the regulatory and compliance landscape for Indian financial institutions, including data residency, audit, and security expectations, and comfort discussing on-premises, private cloud, and hybrid deployment models
Proven ability to navigate and influence complex organisations, building trusted relationships with senior stakeholders such as CIOs, CTOs, CISOs, heads of engineering, and technology risk and compliance leaders
Experience creating and executing account plans for priority accounts, including opportunity mapping, multi-threaded engagement, and disciplined deal and account management
Experience working with system integrators and channel partners to co-sell and deliver in the Indian market
Effective communication and interpersonal skills, including comfort leading customer presentations, negotiations, and executive-level conversations, and coordinating internal resources to move opportunities forward
Capacity to work autonomously and asynchronously in a fully remote environment while staying aligned to shared goals, processes, and forecasting expectations across the broader GitLab team, with the flexibility to meet customers in person across Mumbai
Familiarity with forecasting, pipeline hygiene, and reporting, including sharing learnings from wins and losses to improve repeatable sales motions
Some examples of our projects
Building and growing a territory plan for Mumbai that balances large BFSI institutions (banks, NBFCs, insurers, asset managers, payments and fintech) with high-potential enterprises and conglomerates, from new logo prospecting through long-term expansion on GitLab's AI-powered DevSecOps platform
Leading complex, multi-stakeholder sales cycles and partnering with Solutions Architects, Sales Development, Customer Success, system integrators, and channel partners to position GitLab as a trusted platform for modern software delivery, security, and compliance in regulated and large-scale environments
Helping BFSI customers consolidate fragmented toolchains and modernise legacy delivery pipelines while meeting regulatory, audit, and data-residency expectations
About the team
The Strategic Account Executive will join our enterprise sales team, which focuses on driving GitLab adoption with large customers in the India market. The team is responsible for the full relationship lifecycle with enterprise accounts, from initial engagement through long-term expansion and advocacy, ensuring customers realize value from GitLab’s DevSecOps platform. Team members work in an all-remote, distributed environment and collaborate asynchronously across time zones with sales leadership, solutions architects, customer success, marketing, and channel partners. The team is currently focused on maintaining and growing our existing footprint in the region, executing a consistent global sales motion while adapting to local customer needs and partnering closely with strategic channel organizations to reach and support key accounts.
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: Hyderabad
Workplace: onsite
Technical Support Analyst | Hyderabad, India | Full-time | 2+ years of experience
Who We Are
At Yuno, we are building the payment infrastructure that allows all companies to participate in the global market. Founded by seasoned experts from the payments and tech industries, our technology provides access to leading payment capabilities, enabling companies to engage customers confidently and maintain global operations through seamless integrations. We empower high-performing teams at brands like InDrive, McDonald's, Rappi, and Viva Aerobus to integrate over 1,000 payment methods via a single API. By leveraging advanced AI and the latest technologies, we orchestrate smart routing and fraud prevention across 80+ countries.
About The Role
We are orchestrating the best high-performing team!
We're looking for a Technical Support Analyst to join our Global Customer Success organization — the frontline that keeps our global payment operations running without a hitch. This is a role for someone who genuinely loves solving technical puzzles and takes pride in being the first line of defense for our clients.
In this position, you will build and maintain real-time monitoring systems, respond to critical incidents, and work alongside backend teams to diagnose and resolve issues fast. Every action you take directly protects the reliability our clients depend on. We hold ourselves to a high standard — every payment matters, every client interaction is an opportunity to deliver something exceptional — and we expect the same from the people on this team.
This role demands curiosity and a constant drive to get better. The payments ecosystem moves fast, and you will be expected to adapt, grow, and bring fresh ideas to improve how we operate. If you're someone who sees an ambiguous situation as an opportunity rather than an obstacle, you'll thrive here.
If you're passionate about technology, eager to deepen your backend knowledge, and committed to building systems that scale — we want to hear from you.
Your contribution will be
Implement and maintain a robust real-time monitoring system that ensures full visibility into critical workflows before incidents escalate
Provide top support to clients, acting as the main line of defense to address issues, answer queries, and escalate critical incidents when necessary
Assist backend teams with scripting, bug reproduction, log analysis, and basic API testing
Create and standardize operational processes that enable scalability and consistent service quality
Analyze recurring issues and propose data-driven improvements to position the NOC as a strategic function
Ensure continuous operational coverage with well-structured shift handovers
Participate in some development activities to build hands-on backend knowledge
Identify gaps in current tools and workflows and bring solutions to the table
Skills You Need — Minimum Qualifications
Fluent English and good communication
2+ years of experience in technical support, NOC operations, or a similar role
Basic knowledge of monitoring tools and alerting systems
Coding experience — scripting, debugging, or log analysis
Familiarity with APIs and ability to assist users with integration or connectivity issues
Strong analytical and problem-solving mindset
Customer empathy and a service-oriented approach
Comfort working in fast-paced, high-stakes environments
In addition to the requirements above, for this specific search we need:
Mid or senior level
Availability to work Saturdays and Sundays and coverering extra hours if needed, since the goal is to cover the smissing shift and have a 24/7 support team.
This is not just a customer support role. Technical proficiency is mandatory and you will be evaluated on the basis of that.
Location: Bangalore; Jaipur; Hyderabad
Workplace: OnSite
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
Your Mission:
UiPath is building a new way to design and deliver enterprise processes. UiPath cartographer draws on a curated library of industry process knowledge, interviews the business, and produces process maps and design documents. AI coding agents then turn those designs into working, orchestrated solutions, in days rather than months.
In insurance, "almost right" isn't good enough. The best AI companies in regulated industries have learned the same lesson: quality comes from making a senior practitioner part of the team to building the benchmarks, evaluations and feedback loops around their experience and judgment.
That's this role. As our Principal Expert for insurance, you will own the quality of everything our AI produces for US insurers. You'll set the bar, build the tests that hold the AI to it, and work in the field with customers and partners to make sure what we ship works in a real carrier.
This role does not carry a sales quota and is not a product management role. Success is measured by the quality of the insurance solutions we deliver and how confidently customers build on them.
Why this role is exciting:
- Your work sets the standard. What you define as good will be used by insurance customers, partners and AI agents across the platform.
- You see the impact. Take a process from discovery to a working solution in days, then keep improving it.
- You're building something new. Help decide which lines of business we go after next and how we measure the success of AI-designed processes.
What you'll do at UiPath:
Own insurance AI quality
- Own the quality of insurance process knowledge, designs and solutions across Property & Casualty and Life & Annuity.
- Decide what needs fixing first, review changes before they go to customers, and sign off when a process is ready.
- Work with industry experts, partners and reviewers to maintain and improve quality.
Build the insurance benchmark
- Build a library of real insurance use cases covering claims, FNOL and triage, total loss, endorsements, life claims, medical records, disability claims and new business NIGO.
- Define test cases, scoring criteria and expected answers to evaluate every new AI model and product release before it reaches customers.
Turn expert judgment into evaluations
- Evaluate AI outputs at every stage, from process knowledge and process maps to design documents and working solutions.
- Work with applied scientists and engineers to make sure automated AI evaluations match expert judgment, so we can scale quality checks without relying on manual reviews for everything.
Find failures and make sure they get fixed
- Review actual outputs, identify common failure types across regulation, coverage, workflows, data and terminology, and prioritise them based on customer impact.
- Turn recurring failures into reusable test cases and make sure fixes work before they go live.
- Share clear updates on quality, key issues and progress with leadership, product teams and customers.
How you'll work:
You'll work in a small, senior team of automation consultants, engineers and applied scientists, working directly with customers.
- Work with insurance carriers, MGAs and consulting partners to understand how their claims and underwriting teams operate, and test our designs against real processes.
- Join consultants and engineers on customer deployments and use what you learn to improve our benchmarks and evaluations.
- Run a regular review cycle, roughly every two weeks, to assess outputs, prioritise fixes and track improvements.
- Join customer and partner meetings.
What you'll bring to the team:
- Extensive experience (typically 12+ years) in US insurance, ideally starting hands-on in claims and moving into claims operations senior or mid level roles.
- Deep P&C or Life & Annuity knowledge across the lifecycle
- Working knowledge of US claims regulation: unfair claims settlement practices, state acknowledgment and payment deadlines, total-loss and salvage rules, and market conduct exams.
- Experience mapping or redesigning claims or policy servicing operations: queues, handoffs, SLAs, exceptions, fraud referral and QA.
- The confidence to review complex documents quickly, spot what's plausible but wrong, and explain exactly why.
Nice to have:
- Life & Annuity or disability expertise: contestability, beneficiary determination, unclaimed property, suitability, and underwriting evidence such as medical records.
- Experience evaluating AI or automation output: writing test cases, rubrics or reference answers, or running QA or validation programs.
- Experience with insurance AI, claims automation or document intake programs.
- Comfort with data and light technical work, such as spreadsheets, data analysis or prompting AI tools.
- Experience leading or calibrating a team of reviewers, auditors or claims QA specialists.
- Commercial lines, workers' compensation, employee benefits or broker/MGA experience.
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Location: Lukula Kongo Central
About GiveDirectly
What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need?
Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid.
Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question:
is this doing more good than giving the money directly to people living in poverty?
We’re growing fast, and this is a rare and important moment to join.
We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Trials completed and others in progress.
How we work
Our team spans 20+ countries and 69 languages. Our culture is candid, analytical, and non-hierarchical. We expect high ownership and give people real responsibility early. Our values are central to how we hire, work, and grow, and they are deliberately opinionated:
Recipients first.
Recipients’ preferences come before those of donors or ourselves.
Team next.
We optimize for organizational success, not individual success.
Be proactively candid.
We say what we believe and share information openly.
Create positive energy.
We aim to be a source of energy for colleagues, not a drain.
Think rigorously; act quickly.
We reason from first principles, then act rather than debate.
Know yourself and grow.
We own our imperfections and seek feedback to grow.
Accept reality. Propose solutions.
We focus on what can change and bring solutions, not just problems.
Be productively ambitious.
We take risks for step-change impact, not incremental progress.
If they describe how you like to work and they energize you, this could be a great fit.
Want to learn more? Read and listen:
We are one of
Time100’s
Most Influential Companies of 2026, and our work has been covered by
The Economist
,
NPR
,
TED
, and
The Washington Post
. We're now preparing to deliver billions of dollars a year to people in extreme poverty, if funding allows.
Read our CEO's essay
on what that will take.
À propos de GiveDirectly
GiveDirectly envoie de l’argent directement aux personnes en situation d'extrême pauvreté , afin qu’elles décident elles-mêmes de ce dont elles ont le plus besoin , notre culture est franche , analytique, rapide et non hiérarchique.
Depuis 2018, GiveDirectly est présente en RDC et transfert de l’argent par téléphone mobile au menages vulnerables , en vue de promouvoir la sécurité alimentaire, la réduction de la pauvreté et l’inclusion financière.
Pour en savoir plus sur notre action et nos resultats ,visitez :
www.givedirectly.org
a.Responsabilités
Soutenir la distribution de supports d’information (dépliants, messages clés, etc.) et mener des campagnes de sensibilisation sur le projet auprès des populations ciblées, en adaptant les messages à un public urbain ( des zones populaires) diversifié (niveau d’alphabétisation, genre, âge, vulnérabilités).
Collaborer avec les leaders communautaires, les organisations locales et les membres des communautés pour améliorer la compréhension du recensement, encourager la participation et lever les obstacles éventuels.
Organiser et animer des réunions communautaires au niveau des quartiers, avenues, avec l’appui des leaders communautaires et relais locaux.
Identifier les risques potentiels (opérationnels, sociaux, sécuritaires ou liés à la perception) auxquels GD pourrait faire face avant le démarrage des activités de recensement et de mobilisation au Kongo Central.
Mettre à jour les outils de suivi de l’engagement et de la mobilisation communautaire avec les résultats issus des activités de terrain.
Soutenir la Responsable de l’Engagement Communautaire et de la Communication dans le développement et la mise en œuvre de la stratégie d’engagement communautaire adaptée au contexte du milieu.
Établir et maintenir de bonnes relations avec les communautés à travers des visites régulières sur le terrain, afin de recueillir des informations sur la connaissance du projet, l’accessibilité, la confiance, l’appropriation, ainsi que la pertinence des messages et des canaux utilisés.
Recevoir et traiter les commentaires et plaintes des bénéficiaires, et orienter les personnes vers les mécanismes d’assistance appropriés (centre d’appel, canaux de feedback).
Soutenir l’AFM/FM dans l’identification et la résolution des problématiques liées aux FAQ du programme, afin de garantir leur pertinence et leur mise à jour continue selon l’évolution du programme.
Mener des entretiens avec les bénéficiaires pour documenter leurs expériences et
b. Profil Recherché
Licence dans un domaine professionnel pertinent (sciences sociales, santé publique, communication, psychologie, développement, etc.).
Expérience dans le secteur de la santé, de la psychologie et/ou de la protection souhaitée.
Toute formation en psychologie, protection, nutrition ou santé maternelle constitue un atout.
Excellentes aptitudes à la communication, avec capacité à adapter les messages à des publics variés en milieu urbain (populaire) (jeunes, femmes, populations vulnérables, différents niveaux d’alphabétisation).
Alignement sur les valeurs fondamentales de GiveDirectly et engagement à faire progresser la mission de GD.
Attitude positive, forte éthique de travail et esprit d’équipe, avec un intérêt marqué pour le travail de terrain dans un environnement urbain (populaire) dynamique et exigeant.
Capacité avérée à travailler de manière très indépendante et proactive, tout en communiquant efficacement sur les défis, lacunes et risques.
Solides compétences en matière d’établissement de relations et capacité à interagir efficacement avec une diversité d’acteurs (leaders communautaires, autorités locales, organisations locales, groupes de jeunes, des femmes etc.).
Capacité à évoluer dans des environnements complexes et densément peuplés, avec une bonne gestion des priorités et du temps.
Bonne compréhension et utilisation de différents canaux de communication adaptés au contexte de Kongo Central (réunions communautaires, radios locales, réseaux sociaux, WhatsApp, etc.) est un atout.
Compétences analytiques et techniques, incluant une maîtrise intermédiaire de Google Docs, MS Word, MS Excel et outils de communication virtuelle (ex : Google Meet)
Une expérience confirmée dans l’engagement communautaire, la sensibilisation, la mobilisation sociale et/ou la communication.
Excellente connaissance des dynamiques communautaires et des acteurs locaux au Kongo Central, notamment dans les zones d’intervention de GiveDirectly.
C.Valeurs de GiveDirectly
Priorité aux bénéficiaires : Nous privilégions les préférences des bénéficiaires, pas celles de nos donateurs ni même les nôtres.
L’équipe avant l’individuel : Nous œuvrons pour le succès de l’organisation, pas celui des individus.
Être proactivement franc : Nous parlons et communiquons les informations en toute franchise.
Créer une énergie positive : Nous nous efforçons d’apporter de l’énergie positive à nos collègues, et pas de la leur prendre.
Réfléchir rigoureusement, agir rapidement : Priorité à la rigueur et à l’action, pas au débat interminable.
Se connaître et se développer : Nous sommes conscients de nos défauts, mais nous les exploitons.
Accepter la réalité, Proposer des solutions : Nous ne nous attardons pas sur les problèmes. Nous créons des solutions.
Être ambitieux de manière productive : Nous prenons des risques qui pourraient révolutionner le secteu
d.Comment postuler
Les candidatures se font uniquement en ligne, les intéressés sont priés d’aller sur le
https://boards.greenhouse.io/givedirectly
chercher les offres de la RDC, et soumettre leurs candidatures au plus tard le 05 Novembre 2026 à 17h00 précises Heure de Kinshasa.
Si les pièces ne sont pas demandées sur le portail de candidatures , le dossier contient ( Un CV à jour avec 3 références, une lettre de motivation , la copie du diplôme et le certificat de fin de service du dernier employeur, Les dossiers incomplets ne seront pas examinés)
En cas de difficulté technique écrire à
drc-recruitment@givedirectly.org
Les attestations fournies sont toutes vérifiées ; en cas de fausse information votre candidature sera rejetée.
Les attestations de services fournies dans votre dossier pour ce recrutement, seront vérifiées, scrupuleusement, et toute fausse information y relative entraînera un rejet immédiat de votre candidature.
ATTENTION : NE PAS ENVOYER VOTRE CANDIDATURE À L'ÉMAIL :
whistleblower@givedirectly.org
Nos engagements
GiveDirectly applique une politique de tolérance zéro à l'égard de l'exploitation, des abus et du harcèlement sexuels (SEAH) et attend de toute personne qui travaille avec nous qu'elle place la protection des bénéficiaires en priorité.
Le recrutement est entièrement gratuit. GiveDirectly ne demande ni frais, ni pot-de-vin, ni faveur d'aucune sorte, ni information bancaire, à aucune étape du processus.
Si l'on vous formule une telle demande, ou si vous estimez subir une pression ou une discrimination injuste, écrivez à
whistleblower@givedirectly.org
Cette adresse sert uniquement à signaler un problème, jamais à postuler.
Working at GiveDirectly
GiveDirectly is an Equal Opportunity Employer. All qualified applicants are considered for employment without regard to the person’s race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law.
Flagging for US applicants:
We invite you to "
Know Your Rights
" as an applicant.
Commitment to Safeguarding
As a global organization working with communities to eliminate extreme poverty, GiveDirectly takes the safeguarding of its recipients, staff, and partners seriously. To that end, GiveDirectly is a member of the
Misconduct Disclosure Scheme
, and will systematically check with previous employers about any abuse or misconduct related matters involving potential new hires. We may also employ other robust pre-hire screens, including in-depth reference checks, criminal background checks, and sanctions screens.
These efforts help us continue to build and maintain trust with the communities we work with, and prevent abuse to our recipients and staff.
**GD is committed to observing all local, national and international laws that protect people and basic human rights of all. GD is committed to a policy of “zero tolerance when it comes to preventing, reporting, or responding to any form of abuse or exploitation.” and expects anyone who works for GD to uphold the protection and safeguarding of our recipients as a priority.**
Reasonable Accommodations
We are committed to fostering an inclusive and accessible work environment. If you require any accommodations during the application or interview process, or to perform the essential functions of the role, please email us at careers@givedirectly.org with the email subject “Accommodation Needed”. We will work with you to ensure reasonable accommodations are made to support your needs.
Want to put your best foot forward on your GiveDirectly application?
Take a look at our
Candidate Application Prep Guide
!
Referrals
Know the right person for this role? Please consider
referring them
. We offer a reward of $3,000 for a Senior Manager or above role, and $500 for a Manager role, paid if we end up hiring your referral. Thank you for sending great people our way!
Location: Москва
Workplace: Офисный
Мы — отдел экспериментальных технологий в AI VK, который решает широкий спектр ML- и DL-задач. Наша команда анализирует, как наши разработки можно переиспользовать и где применить, а затем масштабировать.
Задачи
Развивать компоненты AI-ассистента для VK Видео: понимание намерения, удержание контекста диалога, выбор стратегии и маршрутизация инструментов
Улучшать генерацию кандидатов, semantic retrieval и reranking для поиска и персонализированных рекомендаций
Работать с гибридным поиском: эмбеддинги, текстовые и структурные фильтры, поисковые API, рекомендательные модели и явные критерии пользователя
Оптимизировать candidate budget и смешивание кандидатов из разных источников
Обучать и дообучать модели для отдельных компонентов системы: LLM-like, reranker, query rewriting, relevance-модели
Собирать и улучшать обучающие и тестовые датасеты: реальные и синтетические запросы, сложные негативные примеры, long-tail-сценарии и размеченные диалоги
Создавать и поддерживать golden datasets, human-aligned evaluation и автоматические проверки качества; калибровать auto-eval по человеческой оценке
Анализировать деградации, формулировать гипотезы и проверять их в воспроизводимых экспериментах
Оценивать модели не только по общей метрике, но и по отдельным сценариям, категориям запросов, релевантности, разнообразию, безопасности и качеству диалога
Оптимизировать latency, стоимость и использование вычислительных ресурсов при обучении и инференсе
Готовить компоненты к промышленной эксплуатации: интеграция, нагрузочное тестирование, мониторинг, обработка ошибок и контроль регрессий
Участвовать в offline- и online-экспериментах, подготовке A/B-тестов и интерпретации продуктовых метрик
Проводить code review, документировать эксперименты и участвовать в обсуждении архитектуры и исследовательских результатов
Требования
Сильная теоретическая база и опыт работы в рекомендательных системах, информационном поиске, NLP/LLM; готовность работать на их пересечении
Понимание устройства retrieval и ranking: embeddings, candidate generation, negative sampling, cross-encoders, reranking
Знание основных offline-метрик поиска и рекомендаций: Recall@K, Precision@K, NDCG, MRR и их ограничений
Опыт обучения, валидации и внедрения ML-моделей; доведённые до production либо production-like среды самостоятельно разработанные компоненты
Навыки постановки воспроизводимых экспериментов, анализа ошибок и статистической интерпретации результатов
Понимание жизненного цикла ML-системы: данные, обучение, inference, мониторинг, деградации и переобучение
Опыт работы с большими объёмами данных и пайплайнами обработки; YT, Spark или аналогичные инструменты
Базовые навыки Linux, Git, контейнеризации и работы с сервисами
Будет плюсом
Опыт создания LLM-приложений: tool calling, agentic workflows, RAG, structured generation
Дообучение LLM или encoder-моделей: SFT, LoRA/adapters, RL
Построение lexical, semantic или hybrid retrieval
LLM-as-a-judge, human evaluation, построение golden datasets и калибровка автоматических оценок
Оптимизация GPU-инференса, batching, quantization, model serving
Опыт с распределённым обучением и промышленной ML-инфраструктурой
Практика A/B-тестирования рекомендательных или поисковых моделей
Мультимодальные модели, VLM, понимание видео или рекомендательные системы для медиаконтента
Наличие публикаций по тематике LLM, NLP, multimodal models
Location: Москва
Workplace: гибкий
Наша команда отвечает за базу знаний и агентов — это ядро платформы, с которым напрямую работают клиенты. Мы строим RAG-системы для корпоративных данных: от загрузки и индексации документов до поиска и генерации ответа. Мы также разрабатываем самих агентов, которые используют эти знания в рабочих сценариях.
Задачи
Руководить командой разработки направления RAG: отвечать за delivery, качество и стабильность сервисов команды
Совмещать управление командой с разработкой — ориентировочно 50% времени работать hands-on
Планировать работу команды, декомпозировать и оценивать задачи, управлять выполнением roadmap, багами и техническим долгом
Осуществлять техническое лидерство команды: проводить технические проработки, определять архитектуру и технические решения внутри сервисов RAG, проводить code review
Участвовать в проработке архитектурных решений на уровне платформы совместно с главным архитектором
Разрабатывать и развивать сервисы на Python в области RAG и баз знаний
Провести декомпозицию существующих компонентов RAG, реализованных на Ray.io, на отдельные сервисы и участвовать в переходе от текущей архитектуры на Ray к целевой сервисной архитектуре
Развивать контур работы с данными и знаниями: загрузку и индексацию данных, парсинг и разбиение документов, embeddings, retrieval, reranking, vector DB, базы знаний и evaluation
Отвечать за инженерное качество сервисов команды: тестирование, наблюдаемость, производительность, отказоустойчивость и стабильность в production
Участвовать в L4-поддержке сервисов команды и инцидент-менеджменте
Проводить people management команды: 1:1, performance review, развитие сотрудников, наём, проведение испытательных сроков
Синхронизироваться с продуктовыми и техническими командами платформы по зависимостям и совместным задачам
Требования
Сильный опыт backend-разработки на Python и опыт самостоятельной разработки production-сервисов
Опыт управления командой разработки и ответственность за её delivery
Опыт технического лидерства: проектирование сервисов, проведение технических проработок, принятие архитектурных решений, code review
Готовность совмещать роль Team Lead с активной разработкой руками
Уверенное знание Python, asyncio и FastAPI
Опыт работы с PostgreSQL и проектирования схем хранения данных
Понимание принципов построения распределённых backend-систем, асинхронной обработки и взаимодействия сервисов
Опыт проектирования и декомпозиции сервисной архитектуры, выделения отдельных сервисов из существующих крупных компонентов
Опыт работы с брокерами сообщений, желательно NATS
Опыт эксплуатации и развития production-сервисов, понимание требований к качеству, стабильности, наблюдаемости и производительности
Умение организовывать работу команды: планирование, декомпозиция, оценка задач, управление техническим долгом и багами
Опыт people management: развитие сотрудников, обратная связь, performance review и наём
Будет плюсом
Практический опыт разработки RAG-систем и сервисов баз знаний
Опыт работы с retrieval, reranking, embeddings, индексацией, chunking и оценкой качества RAG
Опыт работы с Ray/Ray.io и системами, построенными на нём
Опыт работы с Qdrant или другими векторными базами данных
Опыт работы с Elasticsearch/OpenSearch
Опыт работы с Kubernetes
Знание Go, опыт разработки сервисов на Go или желание его получить в будущем
Workplace: Удалённый, Офис, Гибридный
Плюс Фантех объединяет развлекательные сервисы Яндекса: Музыку, Кинопоиск, Книги и др. Мы — команда MediaAI — ищем сильного LLM‑разработчика. Вы будете отвечать за ключевое направление: ML‑интеграцию общего пользовательского профиля в продукты и AI‑агентов нашей экосистемы.
Мы — команда MediaAI — ищем сильного LLM‑разработчика с опытом прикладных LLM‑систем для развития пользовательского профиля и LLM‑памяти сервисов Плюс Фантеха.
Роль предполагает ответственность за ключевое направление: ML‑интеграцию общего пользовательского профиля в продукты и AI‑агентов нашей экосистемы. Ваши решения напрямую повлияют на то, как будет устроена персонализация сразу в нескольких сервисах.
Обязанности
Развивать сервис пользовательского профиля и LLM-памяти
Вы будете проектировать и улучшать систему, которая хранит и извлекает пользовательский контекст. Это ключевой компонент для всех AI-агентов Плюс Фантеха: от рекомендаций до диалоговых сценариев.
Улучшать качество запоминания и извлечения контекста
Вам предстоит работать с embeddings, retrieval-механиками и промптами, чтобы система точнее понимала, что важно пользователю в данный момент. Проводить эксперименты с LLM и автоматическими метриками качества.
Проектировать переиспользуемые механики интеграции
Вы будете создавать механизмы, которые позволят разным продуктовым командам легко подключаться к профилю и памяти — без дублирования логики и с сохранением стабильности.
Создавать автоматические оценки качества
Вам предстоит разрабатывать и внедрять метрики и тесты для недетерминированных компонентов, чтобы можно было объективно оценивать, насколько хорошо система запоминает и извлекает информацию.
Обеспечивать стабильность и безопасность
Вы будете работать с производительностью, наблюдаемостью и безопасной обработкой пользовательских данных. Внедрять best practices асинхронной обработки и проектирования хранилищ.
Больше об ML в Яндексе — в канале
Yandex for ML
Требования
* Уверенно владеете Python
* Имеете практический опыт интеграции с LLM
* Понимаете embeddings, semantic search и RAG
* Работали с базами данных и проектировали хранилища
* Понимаете асинхронную обработку
* Умеете тестировать недетерминированные компоненты и оценивать качество ML-функциональности
* Способны самостоятельно разбираться в существующей системе и брать компонент в техническое владение
Будет плюсом
* Знаете Java
* Имеете опыт разработки персонализации или рекомендательных систем
* Знакомы с MCP и архитектурой LLM-агентов
* Строили LLM-evaluation и проводили A/B-эксперименты
* Работали с чувствительными пользовательскими данными
Location: Bengaluru, Karnataka, India
Responsibilities:
The Pharmacovigilance Medical Safety Scientist is responsible for developing, reviewing, and maintaining high-quality safety and pharmacovigilance documents that support the safety surveillance and regulatory compliance of consumer health products.
This role requires the ability to synthesize data from multiple sources, including individual case safety reports (ICSRs), aggregate safety data, clinical studies, epidemiological research, literature reviews, post-marketing surveillance, signal detection activities, and other safety data sources. The successful candidate will transform complex safety information into clear, concise, and scientifically accurate documents that support global pharmacovigilance activities and regulatory submissions.
The individual will work closely with Drug Safety, Medical Affairs, Regulatory Affairs, Clinical Development, Quality, and R&D teams to ensure consistent, evidence-based communication of product safety information.
This is an individual contributor role with no direct reports.
Key responsibilities include, but are not limited to:
Pharmacovigilance and Medical Writing:
Prepare, review, and maintain pharmacovigilance and risk management documents for consumer health products.
Synthesize safety information from multiple sources, including:
Individual Case Safety Reports (ICSRs)
Aggregate safety data analyses
Clinical trial safety data
Post-marketing surveillance data
Epidemiology studies
Published literature
Signal detection and evaluation activities
Benefit-risk assessments
Health Authority Assessment Reports
Draft and support the preparation of:
Periodic Safety Update Reports (PSURs/PBRERs/PADERs)
Ad Hoc Safety Reports
Development Safety Update Reports (DSURs)
Signal assessment reports
Aggregate safety reports
Risk management documentation
Health authority responses
Safety narratives
Safety sections of regulatory submissions
Safety surveillance reports and presentations
Analysis and evaluation for the Safety Management Teams (SMT)
Safety Data Analysis and Interpretation
Collaborate with Safety Scientists, Medical Reviewers and others to evaluate emerging safety information and communicate findings effectively.
Assist in the interpretation of safety trends, potential signals, and benefit-risk considerations.
Support literature surveillance activities and summarize relevant safety findings.
Contribute to the development of safety conclusions and evidence-based recommendations.
Support the preparation, review, and analysis of risk management activities and reports.
Quality and Compliance
Ensure all documents comply with global pharmacovigilance regulations, company SOPs, and applicable guidance documents.
Maintain high standards of scientific accuracy, consistency, grammar, and document quality.
Perform quality control reviews of safety documents and ensure timely delivery of assigned projects.
Support inspection and audit readiness activities through accurate documentation practices.
Education/Experience:
Advanced degree required: PharmD, PhD, MD, MPH, MS, or equivalent scientific discipline.
8-10 years of experience in pharmacovigilance, drug safety, medical writing, regulatory writing, or related pharmaceutical, consumer health, or medical device industries.
Experience preparing safety and pharmacovigilance documents preferred.
Familiarity with global pharmacovigilance regulations and safety reporting requirements.
Experience working in a matrixed environment with multiple stakeholders.
Technical Competencies
Strong understanding of:
Clinical research methodologies
Epidemiology and biostatistics
Evidence-based medicine
Regulatory and scientific communication requirements
Safety and benefit-risk assessment principles
2. Expertise in literature evaluation and scientific data interpretation.
3. Ability to critically analyze multiple complex scientific information and identify key insights to drive product safety.
Skills:
Excellent medical writing, editing, and proofreading skills.
Exceptional grammar, attention to detail, and document quality standards.
Strong analytical and critical thinking capabilities.
Effective project management and organizational skills.
Strong verbal and written communication skills.
Ability to work independently while managing multiple priorities and deadlines.
Location: Chicago
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
Our
Desktop Systems Engineering
team is the front line of support for all users across the firm. We work with a wide range of the best technology available - - and we get to test, configure and deploy it all in an environment that continually challenges us and demands that we learn new things daily. The team is also responsible for driving innovation for technologies that impact users daily. The pace is fast but we also obsess about leaving no stone unturned when there is a problem to be solved. We believe in healthy debate, creative and collaborative problem solving and active knowledge sharing. Strong technical aptitude and a passion for technology are critical for success in the Systems Engineer role but initiative, strong analytics and drive are equally important.
What you’ll be doing:
Providing end-user support to employees in the Chicago corporate office and exchange floors
Building, configuring, and upgrading workstations, laptops, and mobile devices
Troubleshooting, maintenance, and upgrades of desktop managed servers
User provisioning (user accounts, mobile devices, VPN, directory permissions)
Providing support for conference room technologies
Automation of repetitive system administration tasks
Evaluating and recommending new hardware and software technologies or solutions
What we’re looking for in this role:
2+ years of MEMCM/SCCM administration experience or similar
Knowledge of application packaging and management
Strong experience supporting and configuring Windows 11
Strong knowledge of Group Policy management
Powershell experience
Passionate about technology
Highly motivated, self-starter who is eager to grow within our organization
Ability to manage projects independently
Previous mobile device management experience
Nice to have:
Intune management experience
Previous macOS or Linux support experience
Previous Windows Server and Active Directory support experience
Scripting or low-level programming experience
The annual base salary range for this position is $85,000 to $125,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
[#LI-LD1]
Location: Poland; Georgia; Kazakhstan; Indonesia
As a Data Analyst in the Business Analytics team, you’ll be the dedicated analyst for our B2B commercial direction. You’ll work as an independent contributor, side by side with the commercial team. You’ll find growth opportunities in the data, form and test hypotheses, and measure the impact of business initiatives that are not product features. Your first projects will be supporting and developing our pricing override and cost modifier processes, designing experiments around the credit limits we give B2B partners to help grow their booking volumes, and evaluating the financial and customer impact of opening local legal entities in new markets. A/B testing alone often isn’t enough here, so you’ll choose and apply other methods, such as difference-in-differences or causal impact. There is no ready-made playbook. You’ll set your own approach, and project managers on both sides will help you run the work. The role suits a self-driven analyst who wants real ownership and visible impact on commercial decisions, and it can grow as the direction expands.
Requirements
2+ years of experience in business, data or product analytics.
Strong SQL, including writing efficient, fast-running queries.
Confident Python and its data libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn and others.
Hands-on experience with difference-in-differences.
Experience with causal inference methods: Causal Impact, Propensity Score Matching and similar.
Solid knowledge of statistics and experience designing and running A/B tests and other experiments.
Ability to dive deep into business processes, solve non-standard problems and work independently.
Fluent Russian and English B2.
Nice to have
Experience with time series forecasting (Prophet, ARIMA, Exponential Smoothing or similar).
Experience in B2B, commercial or partner analytics.
Experience onboarding or mentoring junior colleagues.
Hands-on use of AI tools, such as Copilot or agents, to speed up your work.
Benefits
Flexible schedules and opportunity to work remotely.
Ambitious and supportive team who love what they do, appreciate each other, and grow together.
A structured onboarding, a personal development plan, and regular internal lectures and demos from the team.
Internal programs for adaptation and training, development of soft skills, and leadership abilities.
Partial compensation for participating in external training and conferences.
Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world.
Corporate prices on hotels and travel services.
MyTime Day Off - an extra non-working day without loss of compensation.
Location: Ukraine; Armenia; Georgia; Moldova
Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a
Technical Expert – Microsoft Power Platform
to support our recruitment process by conducting technical interviews and assessing candidates’ expertise.
Responsibilities:
Conduct technical interviews with candidates for Middle/Senior Power Platform Specialist positions.
Assess candidates’ practical knowledge and hands-on experience with Microsoft Power Apps, Power Automate, and SharePoint Lists.
Evaluate candidates’ understanding of the Microsoft 365 ecosystem, integrations, security, and Power Platform governance.
Ask relevant technical questions and assess candidates’ approaches to problem-solving and real-world scenarios.
Evaluate candidates’ ability to analyse business requirements and translate them into technical solutions.
Provide structured and objective feedback on candidates’ technical skills, experience, and suitability for the role.
Collaborate with the recruitment team to align interview criteria with project requirements.
Help refine technical interview questions and assessment guidelines when necessary.
Requirements
3+ years of hands-on experience with Microsoft Power Platform, particularly Power Apps and Power Automate.
Strong practical knowledge of SharePoint Lists and their use in business applications.
Good understanding of the Microsoft 365 ecosystem, integrations, security, and Power Platform governance.
Experience designing, developing, troubleshooting, and maintaining Power Platform solutions.
Ability to assess technical knowledge, identify skill gaps, and distinguish theoretical understanding from practical experience.
Strong communication skills and the ability to explain technical concepts clearly.
Ability to provide clear, structured, and objective feedback in English.
Would be a plus
Previous experience conducting technical interviews or mentoring developers.
Experience with Power BI.
Experience working in distributed or international teams.
Location: Dhahran, Saudi Arabia
Eram Talent is hiring for one of its most prestigious clients in Saudi Arabia for experienced Rotating Equipment Engineers specializing in Turbine Testing or Pump Testing.
The primary responsibility of this role is to plan, execute, and evaluate mechanical, functional, and performance testing of overhauled rotating equipment, with a specialization in either industrial steam turbines or pumps. The role requires strong technical expertise in equipment assembly, testing procedures, instrumentation, vibration analysis, performance evaluation, troubleshooting, and quality assurance to ensure equipment reliability, safety, and compliance with applicable industry standards.
Key Responsibilities
As the successful candidate, you will be required to perform the following:
1. Test Engineering & Planning
Review equipment drawings, technical specifications, overhaul reports, repair scopes, and testing requirements to establish appropriate test procedures, operating conditions, and acceptance criteria.
Develop and review test plans, verify test rigs and systems, and ensure the availability and calibration of required instrumentation.
Ensure testing activities comply with applicable industry standards, client specifications, quality requirements, and workshop safety procedures.
2. Mechanical, Functional & Performance Testing
Execute mechanical, functional, and performance testing of overhauled rotating equipment, specializing in either steam turbines or pumps.
For turbine testing, perform slow-roll, uncoupled run, overspeed, trip, governor, trip-and-throttle valve, lubrication, vibration, temperature, and leakage tests, as applicable.
For pump testing, conduct hydrostatic, mechanical running, and performance tests, including the evaluation of flow rate, differential head, pressure, power consumption, efficiency, vibration, bearing temperature, and leakage, as applicable.
Verify equipment operating conditions, test-system readiness, instrumentation accuracy, safety interlocks, and protective systems before and during testing.
3. Performance Evaluation & Technical Analysis
Evaluate test results against approved procedures, manufacturer specifications, contractual requirements, and applicable testing standards.
For turbines, assess speed, steam conditions, power output, efficiency, heat rate, valve response, and governor stability, as applicable.
For pumps, evaluate head-flow characteristics, efficiency, power requirements, operating curves, and performance against specified duty points and acceptance criteria.
Interpret test data, identify performance deviations, and recommend corrective actions to achieve the required operating and acceptance parameters.
4. Diagnostics, Troubleshooting & Root Cause Analysis
Diagnose mechanical and performance-related issues, including excessive vibration, bearing problems, shaft misalignment, thermal effects, lubrication issues, abnormal temperatures, leakage, and instability.
For turbines, investigate rotor dynamics, steam-path losses, governor malfunctions, trip-system issues, and lubrication-related failures.
For pumps, investigate cavitation, hydraulic instability, inadequate flow or head, seal leakage, impeller-related issues, bearing failures, and abnormal operating conditions.
Conduct root cause analysis (RCA), recommend corrective and preventive actions, and validate equipment performance through retesting where required.
5. Technical Documentation & Quality Assurance
Prepare and review test procedures, inspection records, calibrated-instrument lists, performance curves, certified test reports, deviation reports, and technical recommendations.
Document test results, identify non-conformities, and coordinate corrective actions with repair, assembly, inspection, and quality teams.
Ensure complete technical documentation and verification of acceptance criteria before recommending equipment release to service.
6. Equipment Assembly & Workshop Support
Provide technical guidance on rotating equipment assembly, rotor and shaft inspection, bearing and seal clearances, alignment, and mechanical integrity verification.
Support workshop teams in resolving assembly, repair, testing, and performance-related issues.
Collaborate with engineering, maintenance, quality, and workshop personnel to improve equipment reliability, testing effectiveness, and compliance with technical requirements.
Requirements
Bachelor's degree in Mechanical Engineering from a recognized and approved program.
At least 15 years of rotating equipment experience, including a minimum of 8 years of relevant hands-on experience in industrial steam turbine or pump repair, overhaul, assembly, diagnostics, or testing.
Demonstrated practical experience in either steam turbine testing or pump testing, including mechanical running tests, performance evaluation, troubleshooting, and technical reporting.
Strong knowledge of rotating equipment fundamentals, vibration analysis, rotor dynamics, shaft alignment, bearings, seals, lubrication systems, and machinery protection.
Experience with mechanical and performance testing instrumentation, including vibration, temperature, pressure, flow, speed, and power measurement systems.
Ability to interpret technical drawings, equipment specifications, test procedures, performance curves, and applicable industry standards.
Proven capability in root cause analysis, technical problem-solving, performance assessment, and preparation of detailed engineering reports.
Preferred Qualifications
Relevant OEM training or specialized technical training in steam turbines or pumps.
Experience with applicable API standards and other recognized rotating equipment testing standards.
Mobius vibration analysis certification, Category II or higher, or equivalent qualification.
ICML MLA I or an equivalent lubrication certification.
Hands-on experience with workshop test rigs, instrumentation systems, machinery protection systems, and equipment acceptance testing.
Experience in industrial, oil and gas, petrochemical, power generation, or other process-industry environments.
Specialization:
Candidates must have substantial hands-on expertise in either
Steam Turbine Testing
or
Pump Testing
.
Location: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Doha, Qatar; Kuwait City, Kuwait; Riyadh, Saudi Arabia; Muscat, Oman
We are seeking a
Technical Procurement Specialist
to join a newly established Dubai-based procurement business serving corporate clients worldwide. The company specializes in sourcing and purchasing industrial equipment, spare parts, machinery components, and other commercial goods from international suppliers.
The successful candidate will manage the procurement process independently, from understanding client requirements and identifying suitable suppliers to negotiating prices, coordinating purchases, and ensuring timely delivery.
Key Responsibilities
Manage procurement requests from initial enquiry through purchasing and delivery coordination.
Interpret technical specifications, drawings, and product requirements to identify suitable products and suppliers.
Source industrial equipment, machinery components, spare parts, and other commercial goods from international markets.
Identify, evaluate, and establish relationships with manufacturers, suppliers, and distributors.
Request and compare supplier quotations based on pricing, quality, specifications, and delivery timelines.
Negotiate prices, payment terms, and other commercial conditions with suppliers.
Prepare and manage purchase orders and follow up on order confirmations and deliveries.
Coordinate with clients, suppliers, and logistics partners to ensure smooth procurement operations.
Monitor order progress and resolve supply, pricing, or delivery-related issues.
Maintain accurate procurement records, supplier databases, and purchasing documentation.
Requirements
Bachelor's degree or diploma in Engineering, Mechanical Engineering, Industrial Technology, Supply Chain Management, Procurement, or a related field.
Proven experience in technical procurement, purchasing, or sourcing, preferably involving industrial equipment, machinery, spare parts, or engineering components.
Ability to understand technical specifications and translate client requirements into appropriate purchasing solutions.
Experience identifying suppliers, comparing quotations, and negotiating commercial terms.
Established supplier and manufacturer contacts would be an advantage.
Strong communication, negotiation, organizational, and problem-solving skills.
Ability to work independently and manage multiple procurement requests.
Fluent English communication skills are essential.
Benefits
As per market standards
Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Doha, Qatar; Kuwait City, Kuwait; Riyadh, Saudi Arabia; Muscat, Oman
ГибридleadLondon
leadEurope, US
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоRemote, India; Team members work in an all-remote, distributed environment and collaborate asynchronously across time zones with sales leadership, solutions architects, customer success, marketing, and channel partners