Sofia, Bulgaria | Hybrid | Full-time

Role Overview

Optimizes Tiger Technology’s sales processes and enables our team to achieve revenue goals. This role is critical in ensuring operational efficiency, accurate forecasting, and data-driven decision-making within a fast-paced market.

Key Responsibilities

Sales Process Optimization:

• Design, implement, and continuously improve sales processes to enhance productivity and scalability.
• Ensure alignment between sales, marketing, and product teams.

CRM Management & Data Integrity:

• Maintain and optimize CRM system (HubSpot) for accurate data capture and reporting.
• Develop dashboards and reports to track KPIs, pipeline health, and conversion metrics.

Forecasting & Analytics:

• Own revenue forecasting and pipeline analysis to support strategic planning.
• Provide actionable insights through data analysis to improve sales performance.

Enablement & Training:

• Support onboarding and training for sales teams on tools, processes, and best practices.
• Develop documentation and playbooks for consistent execution.

Cross-Functional Collaboration:

• Partner with Finance on quota setting, compensation plans, and revenue recognition.
• Work closely with Marketing on lead management and attribution reporting.

Qualifications

• Bachelor’s degree in Business, Finance, or related field; MBA is a plus.
• 3+ years of experience in Sales Operations, Revenue Operations, or similar roles within a SaaS company.
• Strong proficiency in CRM systems (HubSpot preferred) and BI tools (Tableau, Looker, or similar).
• Excellent analytical skills with the ability to interpret complex data sets.
• Strong communication and stakeholder management skills.
• Familiarity with SaaS metrics (ARR, MRR, churn, CAC, LTV).

How to Apply

If you are interested in this opportunity and believe your skills match the role, please send your CV to careers@tiger-technology.com. Only shortlisted candidates will be contacted.

Sofia, Bulgaria | Hybrid | Full-time

About the Role

We're seeking a hands-on Marketing Operations Manager to serve as the technical backbone of our marketing team. This role is ideal for a detail-oriented, systems-focused professional who thrives on optimizing marketing technology, ensuring data integrity, and building the infrastructure that enables effective demand generation. You'll be responsible for maintaining our marketing tech stack, automating processes, tracking campaign performance, and ensuring seamless lead management from first touch to sales handoff.

Reporting directly to the Director of Marketing, you'll work closely with the Demand Generation Manager to enable campaign execution through technical excellence, automation, and data-driven insights.

Key Responsibilities

The Marketing Operations Manager owns and maintains the full marketing technology stack, ensuring all tools and systems are properly configured, integrated, and functioning optimally. This includes managing HubSpot CRM and marketing automation - workflows, sequences, lead scoring, and integrations - while ensuring accurate campaign tracking across all channels. This role troubleshoots technical issues, stays current on platform updates, and evaluates new marketing technologies as needed.

Email Marketing Operations

Partnering with the Demand Generation Manager, the Marketing Operations Manager builds and optimizes ad-hoc and newsletter email campaigns across all business units. This role designs and maintains automated email workflows including lead nurturing tracks, sales follow-up sequences, and re-engagement programs, implementing segmentation, A/B testing, personalization, and dynamic content to maximize performance. Ongoing deliverability monitoring, list health, email template management, and compliance with best practices are core to this responsibility.

Campaign Setup & Execution Support

The Marketing Operations Manager builds forms and landing pages in HubSpot, configures campaign tracking architecture with proper UTM parameters and conversion tracking, and ensures data flows accurately into the CRM. This role creates and maintains campaign templates and naming conventions for consistency, supports the Demand Generation Manager with technical setup and troubleshooting, and continuously optimizes form fields and landing page elements for maximum conversion.

Lead Management & Data Operations

The Marketing Operations Manager oversees the end-to-end lead lifecycle from capture through sales handoff, implementing and monitoring lead scoring models and conducting frequent troubleshooting to ensure leads are correctly tagged, routed, and processed. Data quality is a continuous priority, maintained through regular audits, deduplication, and hygiene protocols. This role executes deep list segmentation for targeted campaigns, manages data imports, exports, and migrations, and ensures compliance with data privacy regulations including GDPR and CCPA.

Campaign Analytics, Reporting & Optimization

The Marketing Operations Manager builds and maintains HubSpot dashboards that track lead generation by channel, content type, and campaign, providing regular performance reports to marketing leadership and stakeholders. Ongoing analysis surfaces trends, optimization opportunities, and areas for improvement to continuously improve campaign effectiveness.

Website Reporting & SEO

The Marketing Operations Manager oversees website analytics through custom dashboards and reports, optimizes page content for conversion and user experience, and implements and monitors SEO strategies using tools like SEMrush. This role manages Google Tag Manager implementation for proper tracking and coordinates with developers on technical SEO improvements, including Generative AI discovery.

ABM & Research Support

Using AI-based research tools such as Apollo.io and Ocean.io, the Marketing Operations Manager builds targeted account lists for ABM campaigns and conducts prospect research and data enrichment to support sales and marketing initiatives. This role supports personalized outreach campaigns with accurate, enriched data and automated sequences.

Advertising Platform Support

The Marketing Operations Manager assists with optimization of advertising campaigns across LinkedIn, Facebook, Reddit, and Google Ads, setting up conversion tracking and pixels, monitoring ad performance, providing optimization recommendations, and troubleshooting tracking and technical issues.

Requirements

Technical Skills & Experience

• 5-7 years of marketing operations experience in B2B software/SaaS environment
• Expert-level proficiency with HubSpot CRM and Marketing Hub (or similar marketing automation platforms)
• Strong experience building forms, landing pages, and email templates
• Strong experience with Google Analytics, Google Tag Manager, and website tracking implementation
• Proficiency with SEO tools such as SEMrush, Ahrefs, or Moz
• Experience with AI-based research and prospecting tools
• Working knowledge of HTML/CSS for email templates and landing pages
• Familiarity with advertising platforms including LinkedIn Ads, Facebook Ads, Google Ads, and Reddit Ads
• Proficiency with Canva and basic video editing tools
• Strong data analysis and reporting skills, advanced proficiency with Excel/Google Sheets
• Experience with API integrations and data syncing between platforms

Analytical & Problem-Solving Skills

• Strong analytical mindset with ability to interpret data and derive actionable insights
• Excellent troubleshooting skills for identifying and resolving technical issues
• Detail-oriented with exceptional accuracy in data management
• Ability to translate business requirements into technical solutions

Personal Skills & Work Style

• Self-starter who takes ownership of systems and processes
• Proactive problem-solver who identifies issues before they impact campaigns
• Team player with strong collaboration skills, especially with Demand Generation Manager and Web Developer
• Professional maturity and ability to manage multiple priorities
• Excellent documentation skills for processes and workflows
• Consistent in providing status updates on system health and project progress
• Resourceful and adaptable to changing technologies and business needs

How to Apply

If you are interested in this opportunity and believe your skills match the role, please send your CV to careers@tiger-technology.com. Only shortlisted candidates will be contacted.

New tiered program gives partners deal protection, recurring revenue, dedicated enablement, and MDF as they build hybrid cloud practices

Tiger Technology, a leader in hybrid cloud data management solutions for enterprises and the public sector, today announced the launch of its Channel Partner Program, a global initiative designed to help resellers, distributors, system integrators, and managed service providers capture their share of the fast-growing hybrid storage market.

Operating as a channel-led company, Tiger Technology is backing the program with new sales, technical and marketing enablement resources, training, predictable margins and performance-based incentives, and a long-term commitment to co-selling with its partners..

The launch comes as demand for hybrid cloud infrastructure surges. The global hybrid storage market is projected to grow to $29.3 billion in 2030, as organizations across every industry contend with exploding unstructured data volumes driven by AI and hybrid cloud adoption. Tiger Technology's Channel Partner Program is built to help partners lead that transformation, turning today's file data storage, AI-readiness, and data sovereignty challenges into a durable, recurring revenue opportunity.

“This program turns our long-standing commitment to partners into a transparent framework for growth, with clear rewards for partners who invest in building a Tiger Technology practice. Deeply integrated with an ecosystem of tech vendor relationships across 20+ cloud providers, it gives our partners true differentiation in the hybrid data storage market.", said Miryana Tashkova, Head of Partnerships at Tiger Technology.

A Partnership Built on a Simple Journey

The Channel Partner Program is structured around three tiers, so partners can join wherever fits their business today and grow into greater rewards and support as their practice matures.

Across all three tiers, partners can benefit from rewards for partner-sourced deals, on-demand training & pre-sales support as well as joint motions in AWS and Microsoft Marketplace.

“Our partners are not a channel. They are our go-to-market,” said Martin Man, Global Channel Manager at Tiger Technology. “We're building practices with our partners, not just pipeline. This program lets a partner start anywhere and grow at their own pace, backed by real deal protection, real margin, and a team that's invested in their success from day one. The program is central to our partner-first strategy and growing our presence in strategic regions, including North America, EMEA, and MENA.”

Availability

The Tiger Technology Channel Partner Program is available now to resellers, distributors, systems integrators, and managed service providers worldwide.

For full details on the program and to apply, visit https://www.tiger-technology.com/channel-partners/

Join Tiger Technology and AWS for this webinar exploring one of the most common barriers to enterprise AI adoption - getting critical on-premises data into your AI pipeline without migration, disruption, or operational risk. This session will show you how Tiger Bridge closes that gap, making on-premises data instantly available to AWS AI services.

Have a project in mind with Tiger Technology and AWS? Contact us at alliances@tiger-technology.com or find Tiger Bridge in AWS Marketplace.

Tiger Technology is heading to the finals at the 2026 Storage Awards - and we are inviting customers, partners, and industry peers for their support.

Voting is now open for the prestigious annual awards, with Tiger Technology shortlisted in an impressive eight categories, highlighting the company’s growing impact across the storage, cloud, and AI infrastructure space.

Cast your vote here: Storage Awards 2026 Voting Page

Tiger Technology has been named a finalist in the following categories:

• One To Watch
• Software Defined Storage (SDS) Vendor of the Year
• Cloud Enabler of the Year
• Storage Innovator of the Year
• AI Data Storage Innovator of the Year
• Cloud Product of the Year
• Editor’s Choice – Product
• Storage Optimization Company of the Year

The nominations reflect the company’s continued focus on helping organisations modernise storage workflows, optimise cloud adoption, and manage growing data demands in AI-driven environments.

The awards themselves are among the most respected recognitions in the global storage and cloud industry. Organized by The Storage Awards, the event — often referred to as “The Storries” - is now in its 23rd year and has become a major fixture in the industry calendar.

The 2026 ceremony will take place on 18 June 2026 at the De Vere Grand Connaught Rooms in London, bringing together more than 300 senior professionals from across the global storage landscape. Over the years, the event has grown significantly, celebrating excellence across vendors, products, channel partners, service providers, and industry leaders.

Voting for the awards opened on 7 April and closes on 4 June 2026, with winners determined through a combination of public industry voting and editorial evaluation.

For Tiger Technology, reaching the finals across eight categories marks a significant milestone and recognition from the broader storage community.

Supporters can help Tiger Technology secure a win by voting before the deadline. Cast your vote here: Storage Awards 2026 Voting Page

Enterprise AI data pipelines stall when storage can't keep up. Tiger Bridge bridges the gap between on-premises data and cloud AI - at every stage of the pipeline. 

By Alexander Lefterov

AI doesn't fail because of bad models. It fails because of bad data access. The most advanced GPU clusters in the world still starve when the storage layer can't feed them. That bottleneck is where Tiger Bridge lives - and where it quietly solves one of enterprise AI's most underappreciated problems. 

Mission-critical industries - healthcare, finance, media, manufacturing - are under mounting pressure to deploy AI at scale. Yet the data those AI systems need is overwhelmingly on-premises: constrained by regulation, security mandates, latency requirements, and sheer operational inertia. Cloud-based AI services, meanwhile, are where the processing power lives. The result is a structural disconnect that no amount of model tuning can fix. 

Tiger Bridge addresses this directly. As a software-only hybrid cloud engine, it allows organizations to maintain their on-premises operations exactly as they are today - while opening a seamless, intelligent pipeline to cloud AI services. But to understand why this matters, we first need to look at how AI workloads actually consume storage. 

Enterprise AI Data Needs More Than Fast Storage

A common instinct in enterprise AI planning is to treat storage as a uniform concern - the pipeline needs fast storage, so you buy fast storage. In practice, this approach fails because the I/O demands of an AI pipeline shift dramatically depending on which stage you are in. 

Think about what actually happens as data travels through an AI workload. Raw data arrives at scale - video files, medical records, sensor logs, documents - and needs to be ingested cost-effectively. That data then gets prepared: chunked, cleaned, annotated, converted into formats a model can consume. Training runs pound through massive datasets with sequential reads at high throughput. Inference demands something quite different - low-latency random access, fast model loading, rapid retrieval. And when all of that processing is done, much of the data moves into long-term archive. 

Each of these stages has a fundamentally different storage profile. Ingest and archive benefit from the economics and scale of object storage. Training runs best against a high-throughput file system. Preparation and inference require the flexibility to access data via both file and object protocols simultaneously. 

The organizations winning with enterprise AI are not necessarily those with the most compute. They are the ones that have solved data movement - getting the right data to the right system at the right stage, automatically, without manual intervention. 

A storage architecture that can't serve the right protocol at each stage forces teams to copy data between silos. That means latency, storage bloat, and pipeline delays that directly translate into wasted GPU time and missed business outcomes - not to mention the operational overhead of engineers spending cycles on data wrangling rather than building. 

What the AI Pipeline Actually Looks Like 

We can break the enterprise AI data lifecycle into distinct stages, each with specific storage characteristics. Understanding this progression is the foundation for understanding where Tiger Bridge creates value. 

As per Gartner®, there is a preferred type of storage for each stage of the AI pipeline (as shown in the figure). 

The pattern here is telling. The pipeline doesn't have one storage need - it has at least three distinct profiles, and the critical middle stages require the flexibility to work with both file and object access simultaneously. This is where most enterprise AI architectures hit friction, and where Tiger Bridge's hybrid cloud approach delivers the most direct value. 

Tiger Bridge as the AI Data Lifecycle Engine 

Tiger Bridge is not a storage system in the traditional sense. It is a software layer that sits transparently between your existing on-premises infrastructure and the cloud - extending, tiering, and synchronizing data without disrupting the workflows already in place. For AI pipelines, this means handling the movement of data between storage tiers automatically, aligned with the demands of each stage. 

The diagram illustrates what makes Tiger Bridge distinctive in the AI context. It doesn't require organizations to choose between on-premises and cloud - it operates as the intelligent connective tissue between them. Data generated by on-premises operational systems is automatically tiered, staged, and made available to cloud AI services at each pipeline step, with AI-processed insights written back into existing workflows without any change to how users or applications interact with the data. 

Stage by Stage: What Tiger Bridge Does 

The value becomes concrete when mapped against each of the five pipeline stages: 

Why the Hybrid Storage Approach Matters for Regulated Industries 

There is a reason Tiger Bridge has been adopted across healthcare, finance, and media organizations: many of them simply cannot move their primary operational enterprise AI data to the cloud wholesale. Regulatory constraints, data residency requirements, and security policies make full cloud migration a non-starter for the data that matters most. 

Tiger Bridge's on-premises-first architecture is built for exactly this reality. The primary data stays where compliance requires it. The AI processing happens in the cloud. And the intelligence derived from that processing flows back into on-premises workflows - creating a closed loop that delivers AI value without compromising data governance. 

This is materially different from approaches that require full migration or that treat cloud as the system of record. Tiger Bridge treats on-premises as the authoritative environment, with cloud as the processing and scaling layer - not the other way around. 

No workflow disruption 

Users and applications continue operating exactly as before. Tiger Bridge works transparently beneath existing infrastructure - no retraining, no new interfaces. 

Elastic scale without hardware 

Cloud storage expands capacity on demand. Organizations avoid overprovisioning on-premises systems to accommodate growing AI datasets. 

Storage-agnostic by design 

Works across any storage provider, type, or tier - Microsoft Azure, AWS, Google Cloud, IBM Cloud, and more. No vendor lock-in at any layer of the stack. 

Data sovereignty preserved 

Primary data remains on-premises. Granular control over what is tiered, when, and to which cloud environment - designed for regulated industries. 

Automated lifecycle management 

Policy-driven migration moves cold data to low-cost tiers automatically, ensuring fast storage is reserved for active AI workloads and hot operational data. 

The organizations that will lead in AI over the next decade are not necessarily those with the biggest model budgets. They are the ones that can move data efficiently, govern it responsibly, and connect their existing operational knowledge to the AI services that can make sense of it. Tiger Bridge is the infrastructure layer that makes that possible - without asking organizations to rebuild what already works. 

The HDD shortage of 2026 is now a confirmed reality. Hard drive manufacturers have sold out their entire 2026 production. For IT teams counting on a storage refresh this year, that's not a supply chain inconvenience - it's a strategic emergency. Here's what it means, and what you can do about it today - in less time than it takes to add a new drive to your server.

The HDD shortage is real - and it affects you directly

In early 2026, Seagate and Western Digital confirmed what many in the industry had feared: their manufacturing output for the entire year is fully allocated. AI hyperscalers - the Googles, Amazons, and Microsofts of the world - have locked up production with long-term purchase agreements stretching into 2027 and 2028. Toshiba is expected to be in the same position.

For IT teams, the consequences are immediate and compounding. Server and storage lead times are stretching many months. Drive and memory costs have risen sharply - organizations are reporting prices up 4X, with no signs of a reversal. DRAM and NAND flash are experiencing their own shortages simultaneously, amplifying the pressure across the entire storage stack.

If your on-premises storage is running near or at capacity, you are already feeling this. And if you're not yet, you will be soon.

Waiting for hardware is not a strategy 

The instinct for many IT teams is to wait. Put in the purchase order, accept the lead time, manage as best you can in the meantime. But every week you run near capacity has a cost that rarely appears on a single invoice. 

Performance degrades as disks fill. Projects get delayed or descoped. IT staff spend time managing workarounds instead of delivering value. And when storage finally becomes critical, the response turns reactive - expensive, rushed, and disruptive. 

The organizations navigating this best are those who recognized early that the answer wasn't coming from a procurement team. It was going to come from a smarter approach to the infrastructure they already have. 

"The growth of AI demands storage, and lots of it - expect there to be high-performance networking shortages as well going forwards. This will become even more acute." - IDC Senior Research Director for European Enterprise Infrastructure 

There is a better way - and it takes minutes, not months 

Tiger Bridge is a software-only solution that seamlessly extends your on-premises storage to the cloud. We're already helping organizations across healthcare, finance, media, and more solve exactly this problem - and the thing that surprises people most when they see it isn't the cost saving. It's how remarkably simple it is to get running. 

What getting started actually looks like

Once installed, Tiger Bridge automatically identifies inactive data and moves it to low-cost cloud storage - whether that's Microsoft Azure, AWS, Google Cloud, or any other provider you already work with. A lightweight stub replaces each moved file on the local system, so retrieval is instant and transparent. Local space is reclaimed immediately. Savings start from day one. 

Your data stays yours - with no strings attached

One concern we hear from IT teams considering cloud-based solutions is the risk of getting locked in. It's a fair concern. Many solutions store data in proprietary formats or make it technically difficult - and costly - to move providers or repatriate data later. 

Tiger Bridge is built differently. It uses open standards throughout, meaning your data is always stored in its native format with no proprietary wrappers, no special encoding, and no dependency on Tiger Technology to access it. 

That matters a great deal in the current context. Tiger Bridge is an excellent solution to a pressing problem right now - but it's also designed to grow with you long term. And when the HDD market eventually eases and you want to pull data back on-premises, you can. Whenever you choose, on your terms, with no exit costs and no vendor friction. 

You stay in complete control. That's not a footnote - it's a core part of how Tiger Bridge is designed. 

The long-term case is just as compelling 

For many organizations, the HDD shortage is the catalyst that starts a broader conversation about storage economics. Once Tiger Bridge is in place, the TCO picture changes significantly - and not just as a crisis response. 

✓ Storage costs reduced by over 60%, replacing expensive on-premises capacity with low-cost cloud tiers. 

✓ Storage utilisation improved by up to 10X, eliminating the cycles of over-provisioning and emergency expansion. 

✓ Reduced admin overhead - no new infrastructure to manage, no additional training required. 

✓ Elastic scaling on demand - grow storage capacity in minutes using cloud providers you already pay for. 

✓ Built-in compliance and data integrity - retention enforcement, checksum validation, and continuous data protection included. 

What starts as a response to a hardware shortage becomes a durable, lower-cost infrastructure model that serves you well beyond the current crisis. 

Don't be the organization still waiting 

The HDD shortage will eventually ease. But the organizations that act now will have built something more valuable than a temporary fix - a smarter, leaner storage architecture that costs less, scales better, and leaves them far less exposed the next time a supply chain event disrupts the hardware market. 

Tiger Bridge installs in 2 minutes. No reboot. No disruption. Your data stays in its native format, fully under your control, ready to come back on-premises whenever you need it. And we're here to help you get it in place - right now, alongside the many organizations already running it today. 

The window to act ahead of a genuine capacity crisis is now. Don't be the last one still waiting. Request a demo today.