Location
Our Solutions Engineer, DoiT Cloud Intelligence, will be an integral part of our Solutions Engineering team in the UK, Ireland, Netherlands, Estonia and Sweden.

Who We Are
DoiT is a global technology company empowering cloud-driven organizations to achieve business growth and innovation through strategic cloud utilization. We blend data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state, from initial planning to full-scale production.
With extensive experience across various cloud environments, we possess deep specializations in Cloud Data Platforms such as  Snowflake, Databricks, BigQuery, as well as FinOps experience. As a trusted and award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we proudly support over 4,000 customers worldwide.
Our flagship offerings include DoiT Cloud Intelligence, which uniquely combines advanced technology with human insight, enabling us to solve complex multicloud challenges and drive significant efficiency for our clients.

The DoiT Cloud Intelligence platform offers:

• Provides deep visibility into cloud cost, usage, performance, and optimization opportunities across complex multi-cloud environments, enabling organizations to make data-driven infrastructure decisions.
• Combines automation, analytics, and expert guidance to identify savings opportunities, improve resource efficiency, and continuously optimize cloud investments at scale.
• Designed to power Managed Service Providers (MSPs), Systems Integrators (SIs), and Private Equity (PE) operating teams with portfolio-level insights, benchmarking, and operational tooling to manage multiple cloud environments effectively.
• Goes beyond reporting by delivering prescriptive recommendations and automated workflows that help engineering, finance, and platform teams turn cloud intelligence into measurable operational and financial outcomes.

The Opportunity
As a Solutions Engineer supporting DoiT Cloud Intelligence, you will partner with Account Executives to help enterprises, MSPs, Private Equity firms, and Systems Integrators unlock actionable insights across their cloud environments—driving cost efficiency, operational visibility, and smarter cloud decision-making through DoiT’s next-generation intelligence platform.

Responsibilities

• Technical Qualification & Discovery: Collaborating with the Account Executive to thoroughly understand the prospect’s cloud environment, FinOps maturity, cost management challenges, and operational goals through in-depth technical discovery sessions across engineering, finance, and platform teams.
• Technical Validation & POV Leadership: Owning and driving the technical validation and Proof of Values (POVs) specifically for DoiT Cloud Intelligence. This includes meticulous POV preparation, proactive management, and ensuring successful technical outcomes, demonstrating clear value and alignment with prospect requirements.
• Platform Demonstrations: Developing and delivering compelling and tailored demonstrations of DoiT Cloud Intelligence, showcasing capabilities such as cloud cost visibility, optimization insights, and operational intelligence across complex multi-cloud environments.
• Business Case & ROI Development: Leveraging your understanding of cloud economics and FinOps to develop compelling business cases and ROI analyses that clearly articulate the financial and operational impact of adopting DoiT Cloud Intelligence.
• Partner & Portfolio Motion Support (MSP, PE, SI): Supporting technical engagements with Managed Service Providers (MSPs), Private Equity (PE) firms, and Systems Integrators (SIs) by demonstrating how DoiT Cloud Intelligence enables portfolio-level visibility, operational insights across multiple cloud environments, and scalable optimization strategies.
• DoiT Cloud Intelligence Expertise: Becoming the go-to expert within the company for DoiT Cloud Intelligence, ensuring prospects and partners achieve optimal results and a seamless onboarding experience.
• Technical Win Ownership: Taking full ownership of the technical win for DoiT Cloud Intelligence engagements, guiding prospects through the evaluation process, addressing technical requirements, and building confidence in the platform’s ability to drive cloud efficiency and operational insights.
• Event & Conference Presentations: Representing DoiT Cloud Intelligence at company events, webinars, and industry conferences, delivering engaging presentations and demonstrations that highlight the platform’s cloud intelligence and FinOps capabilities.
• Product Feedback and Customer Advocacy: Translate customer pain points, partner requirements, and feature gaps into structured, technically credible input for product and engineering teams, helping shape the evolution of the Cloud Intelligence platform.
• Accurate, Timely Documentation: Ensure timely entry of data into internal business support systems. Contribute to systems and tools that provide key business information and metrics to highlight performance and effectiveness.

We are seeking an individual who is not only passionate about FinOps and  optimization but also thrives on engaging technically with customers, solving their most pressing challenges related to FinOps and cost management. This role offers the exciting opportunity to be at the forefront of innovation within the rapidly evolving FinOps ecosystem.

About you
You are an accomplished Solutions Engineer with experience in a B2B SaaS software environment.  You have an established track record of success and enjoy being the model for the ideal Solutions Engineer within a team.  You are excited about enabling companies to transform themselves using the public cloud and the service offerings in the cloud (AWS, GCP, Azure, etc.)  You hold yourself accountable for the success of any initiative you are involved in. You want to be a part of a high performance sales organization and love winning against the competition.  You are comfortable working in a fast paced, growing, collaborative, entrepreneurial environment.

Qualifications

• 7+ years experience at B2B SaaS software company in a pre-Solution Engineering role selling into both enterprise and mid-market accounts.
• An understanding of ITSM eco-systems and prominent solutions within them, such as: Cloud Management tools, DataDog, Chef, Ansible, Puppet, New Relic, ServiceNow, AlertLogic etc.
• Experience working with Amazon Web Services (AWS) or equivalent cloud, and Datacenter experience with knowledge of hypervisors like VMWare.
• Strong data analysis skills and the ability /navigate spreadsheets to identify trends, outliers, correlations and reconciliation needs across large data sets.
• Good practical understanding of cloud-centric architectures.
• Comfort level working in a metric-driven environment, including reporting on and improving business performance against a set of monthly KPIs and metrics.
• The ability to take complex pieces of technology and explain them in a simple and easy to understand way.
• Solid verbal, written, presentation and interpersonal communication skills.
• Intellectual curiosity, great problem solving skills and passion for continuous improvement.
• Previous experience working with/presenting to executive level prospects and customers.
• Experience with modern technical selling best practices and selling in a competitive environment, including implementing new or improved trial, demo, and RFP processes.
• Proven track record of success in a fast growing and scaling business. 

Are you a Do’er?
Be your truest self. Work on your terms. Make a difference.
We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally. 
What does being a Do’er mean? We’re all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values. 

Sounds too good to be true? Check out our Glassdoor Page.
We thought so too, but we’re here and happy we hit that ‘apply’ button. 

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan
• Home Office Allowance
• Professional Development Stipend 
• Peer Recognition Program

Many Do’ers, One Team
DoiT unites as Many Do’ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

#LI-Remote

This remote position is open to residents of Cyprus.

About the Role:

We’re looking for a Product Manager who operates where data, strategy, and customer value meet. You’ll own and evolve our analytics domain, shaping the tools and experiences that transform raw data into clear, actionable insight. 

As the leader of the in-product Analytics team, you’ll push an already market-leading capability further by evolving dashboards from static reporting to intelligent systems powered by trend detection, predictive forecasting, anomaly identification, AI-generated insights and prescriptive recommendations that proactively guide customer decisions.

You will own one of Wrike’s most strategically important and highly adopted feature areas, used by our most active users across more than 17,000 customer accounts. This is not incremental optimization, it’s full ownership of the analytics experience end to end, from vision and data foundations to customer-facing insight delivery. You’ll set the direction, make the trade-offs, and drive execution for a capability that directly impacts enterprise decision-making, retention, and expansion.

Our Work Style:

You will have full ownership of the analytics roadmap and prioritization, with dedicated engineering and design resources aligned to this domain. This role operates with high autonomy and executive visibility, shaping not only feature delivery but the long-term direction of analytics across the Wrike platform.

Your Impact:

• Product strategy & roadmap: define and own the long-term vision and prioritization for Wrike’s in-product analytics, with a clear mandate to evolve the experience through AI-powered capabilities such as natural language querying, automated insight generation, forecasting and intelligent recommendations.

• Dashboard & visualization experience: lead the design and evolution of intuitive dashboard experiences, including customizable widgets (charts, tables, calendars), dynamic filtering/parameters, calculated fields, trend views, KPI blocks, and pivot capabilities that help customers understand and act on their data.

• Analytical infrastructure: Ensure the reliability and scalability of the data foundation powering customer-facing analytics, including well-structured data models, performant pipelines, real-time synchronization where applicable, and precise aggregation logic. Own and manage strategic partnerships with analytics technology providers such as Sisense and Snowflake to guarantee seamless integration, performance, and long-term platform evolution.

• Stakeholder engagement & adoption: Work with UX research, customer success, sales and enterprise customers to validate dashboard use cases, gather feedback on analytical needs and pain points, and drive adoption and value realization of analytics capabilities.

Your Qualifications:

• Experience: 4+ years of product management, preferably with SaaS products, with a strong track record in customer-facing analytics or reporting. 
• Customer-Centric Mindset: Strong empathy for customers and a passion for delivering exceptional user experiences.
• Product Discovery: You are experienced in conducting market research and user interviews to identify customer needs and pain points. You are also experienced in testing and validating potential solutions with real users to ensure that they effectively address the identified needs.
• Practical AI experience: Hands-on experience with leveraging AI technologies to streamline work and experience with the creation of AI-powered features.
• Collaboration Skills: Ability to work well with cross-functional teams and communicate effectively with many partners across different parts of the organization.

Why this Role is Unique:

• Intelligence transformation: lead Wrike’s evolution from reporting dashboards to proactive, AI-powered decision support.
• Strategic area ownership: Own a highly adopted, business-critical product area used across 17,000+ customer accounts.
• End-to-End scope: Shape everything from customer-facing insight experiences to underlying data models, pipelines, and strategic analytics partnerships.
• High autonomy, high visibility: Drive roadmap and long-term direction with dedicated resources and meaningful executive exposure.

Why Join Wrike?

• 25 calendar days of paid vacation
• Sick Leave Compensation (5 Paid Uncertified Sick Days)
• Parental Leave: 18 Weeks Maternity / 4 Week Paternity 
• 2 Volunteer Days
• Medical Insurance (Employees + Dependents)
• Hybrid Working Model
• School Allowance (Up to €600/month for school aged kids)
• Simcard w/ Unlimited Internet Access for active employees
• Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays

What’s next?

• Exploratory call with a Recruiter 
• Meeting with Product Director
• Panel Interview with our representatives of Engineering & Design
• Home Task
• Final Interview with CP
  
  

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.



#LI-AV1

This remote position is open to residents of the Czech Republic.

About the Role:

We’re looking for a Product Manager who operates where data, strategy, and customer value meet. You’ll own and evolve our analytics domain, shaping the tools and experiences that transform raw data into clear, actionable insight. 

As the leader of the in-product Analytics team, you’ll push an already market-leading capability further by evolving dashboards from static reporting to intelligent systems powered by trend detection, predictive forecasting, anomaly identification, AI-generated insights and prescriptive recommendations that proactively guide customer decisions.

You will own one of Wrike’s most strategically important and highly adopted feature areas, used by our most active users across more than 17,000 customer accounts. This is not incremental optimization, it’s full ownership of the analytics experience end to end, from vision and data foundations to customer-facing insight delivery. You’ll set the direction, make the trade-offs, and drive execution for a capability that directly impacts enterprise decision-making, retention, and expansion.

Our Work Style:

You will have full ownership of the analytics roadmap and prioritization, with dedicated engineering and design resources aligned to this domain. This role operates with high autonomy and executive visibility, shaping not only feature delivery but the long-term direction of analytics across the Wrike platform.

Your Impact:

• Product strategy & roadmap: define and own the long-term vision and prioritization for Wrike’s in-product analytics, with a clear mandate to evolve the experience through AI-powered capabilities such as natural language querying, automated insight generation, forecasting and intelligent recommendations.

• Dashboard & visualization experience: lead the design and evolution of intuitive dashboard experiences, including customizable widgets (charts, tables, calendars), dynamic filtering/parameters, calculated fields, trend views, KPI blocks, and pivot capabilities that help customers understand and act on their data.

• Analytical infrastructure: Ensure the reliability and scalability of the data foundation powering customer-facing analytics, including well-structured data models, performant pipelines, real-time synchronization where applicable, and precise aggregation logic. Own and manage strategic partnerships with analytics technology providers such as Sisense and Snowflake to guarantee seamless integration, performance, and long-term platform evolution.

• Stakeholder engagement & adoption: Work with UX research, customer success, sales and enterprise customers to validate dashboard use cases, gather feedback on analytical needs and pain points, and drive adoption and value realization of analytics capabilities.

Your Qualifications:

• Experience: 4+ years of product management, preferably with SaaS products, with a strong track record in customer-facing analytics or reporting. 
• Customer-Centric Mindset: Strong empathy for customers and a passion for delivering exceptional user experiences.
• Product Discovery: You are experienced in conducting market research and user interviews to identify customer needs and pain points. You are also experienced in testing and validating potential solutions with real users to ensure that they effectively address the identified needs.
• Practical AI experience: Hands-on experience with leveraging AI technologies to streamline work and experience with the creation of AI-powered features.
• Collaboration Skills: Ability to work well with cross-functional teams and communicate effectively with many partners across different parts of the organization.

Why this Role is Unique:

• Intelligence transformation: lead Wrike’s evolution from reporting dashboards to proactive, AI-powered decision support.
• Strategic area ownership: Own a highly adopted, business-critical product area used across 17,000+ customer accounts.
• End-to-End scope: Shape everything from customer-facing insight experiences to underlying data models, pipelines, and strategic analytics partnerships.
• High autonomy, high visibility: Drive roadmap and long-term direction with dedicated resources and meaningful executive exposure.

Why Join Wrike?

What’s next?

• Exploratory call with a Recruiter 
• Meeting with Product Director
• Panel Interview with our representatives of Engineering & Design
• Home Task
• Final Interview with CP
  
  

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.



#LI-AV1

This remote position is open to residents of Estonia.

About the Role:

We’re looking for a Product Manager who operates where data, strategy, and customer value meet. You’ll own and evolve our analytics domain, shaping the tools and experiences that transform raw data into clear, actionable insight. 

As the leader of the in-product Analytics team, you’ll push an already market-leading capability further by evolving dashboards from static reporting to intelligent systems powered by trend detection, predictive forecasting, anomaly identification, AI-generated insights and prescriptive recommendations that proactively guide customer decisions.

You will own one of Wrike’s most strategically important and highly adopted feature areas, used by our most active users across more than 17,000 customer accounts. This is not incremental optimization, it’s full ownership of the analytics experience end to end, from vision and data foundations to customer-facing insight delivery. You’ll set the direction, make the trade-offs, and drive execution for a capability that directly impacts enterprise decision-making, retention, and expansion.

Our Work Style:

You will have full ownership of the analytics roadmap and prioritization, with dedicated engineering and design resources aligned to this domain. This role operates with high autonomy and executive visibility, shaping not only feature delivery but the long-term direction of analytics across the Wrike platform.

Your Impact:

• Product strategy & roadmap: define and own the long-term vision and prioritization for Wrike’s in-product analytics, with a clear mandate to evolve the experience through AI-powered capabilities such as natural language querying, automated insight generation, forecasting and intelligent recommendations.

• Dashboard & visualization experience: lead the design and evolution of intuitive dashboard experiences, including customizable widgets (charts, tables, calendars), dynamic filtering/parameters, calculated fields, trend views, KPI blocks, and pivot capabilities that help customers understand and act on their data.

• Analytical infrastructure: Ensure the reliability and scalability of the data foundation powering customer-facing analytics, including well-structured data models, performant pipelines, real-time synchronization where applicable, and precise aggregation logic. Own and manage strategic partnerships with analytics technology providers such as Sisense and Snowflake to guarantee seamless integration, performance, and long-term platform evolution.

• Stakeholder engagement & adoption: Work with UX research, customer success, sales and enterprise customers to validate dashboard use cases, gather feedback on analytical needs and pain points, and drive adoption and value realization of analytics capabilities.

Your Qualifications:

• Experience: 4+ years of product management, preferably with SaaS products, with a strong track record in customer-facing analytics or reporting. 
• Customer-Centric Mindset: Strong empathy for customers and a passion for delivering exceptional user experiences.
• Product Discovery: You are experienced in conducting market research and user interviews to identify customer needs and pain points. You are also experienced in testing and validating potential solutions with real users to ensure that they effectively address the identified needs.
• Practical AI experience: Hands-on experience with leveraging AI technologies to streamline work and experience with the creation of AI-powered features.
• Collaboration Skills: Ability to work well with cross-functional teams and communicate effectively with many partners across different parts of the organization.

Why this Role is Unique:

• Intelligence transformation: lead Wrike’s evolution from reporting dashboards to proactive, AI-powered decision support.
• Strategic area ownership: Own a highly adopted, business-critical product area used across 17,000+ customer accounts.
• End-to-End scope: Shape everything from customer-facing insight experiences to underlying data models, pipelines, and strategic analytics partnerships.
• High autonomy, high visibility: Drive roadmap and long-term direction with dedicated resources and meaningful executive exposure.

Why Join Wrike?

• 28 calendar days of paid vacation
• Sick Leave Compensation (5 Paid Uncertified Sick Days)
• Parental Leave: 18 Weeks Maternity / 4 Week Paternity
• 2 Volunteer Days
• Health Insurance (Employees + Dependents)
• Life Insurance Plan
• Utility Allowance (30 EUR/month, subject to taxation)
• Fitness plan (800 EUR/year)
• Full-remote & On-demand access to Co-working space

What’s next?

• Exploratory call with a Recruiter 
• Meeting with Product Director
• Panel Interview with our representatives of Engineering & Design
• Home Task
• Final Interview with CP
  
  

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.



#LI-AV1

The Director of Data Engineering will lead and scale the Data Engineering and Analytics Engineering functions, owning the post-application data platform and its architecture, governance, and operating model. This foundational leadership role ensures best in class engineering standards, helps drive the organization toward a durable, auditable, data-product operating model, and modernizes and expands a Snowflake-centered data stack to include building and operating scalable distributed data processing and real-time streaming systems that support event-driven data products for operational use cases.

The role partners closely with Product, Software Engineering, Data Product Managers, Marketing, Compliance, Finance and Data Science to ensure our data ecosystem is production-grade, scalable, and compliant in a regulated gaming environment.

What You'll Do:

Team Leadership & Organizational Growth

• Lead and grow Data Engineering and Analytics Engineering teams; recruit, mentor, and elevate technical capabilities around distributed data processing, stream processing, and event-driven architectures
• Define ownership models for platform components and data products; set performance and hiring plans.
• Advance engineering standards for deployment: development, testing, documentation, release management, and SLAs.
• Partner with Data Product Managers to define data assets as versioned, documented data products with clear ownership and SLAs.

Platform, Architecture & Engineering Excellence

• Own the administration, reliability, governance, and strategic expansion of the Snowflake-based post-application data platform to operate scalable distributed data processing pipelines capable of handling high-volume event data across both batch and streaming workloads.
• Manage platform governance, access control, security, cost, and capacity planning.
• Standardize DBT deployment methods, promotion workflows, and environment management.
• Implement Infrastructure-as-Code (Terraform or similar) for reproducible, auditable infrastructure.
• Deliver monitoring, observability, lineage, and data quality frameworks; enforce traceability and auditability for regulated reporting.
• Own and evolve ingestion and warehouse architecture and transformation frameworks .
• Improve performance, cost efficiency, reliability, and scalability of data transformation and storage layers.
• Define and enforce engineering standards across the data lifecycle and establish SLAs and reliability metrics for critical assets - ensuring all pipelines, transformations, and reporting are auditable and documented for internal and external review

Event-Driven Architecture & Player 360

• Partner with Software Engineering on event messaging, streaming architecture, and ingestion patterns (built on technologies such as Kafka, Kinesis, Spark Structured Streaming, Flink, or equivalent platforms).
• Lead technical design and development of a unified Player 360 data foundation that integrates transactional, behavioral, and event-level data.
• Align application schema design with downstream analytical, product, and regulatory requirements.
• Balance real-time and batch processing strategies according to business needs and cost/complexity tradeoffs.

What You'll Bring:

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related STEM field preferred. Equivalent practical experience will be considered.
• 8+ years of experience in data engineering, with 3+ years of experience in leadership roles. 
• Experience transitioning an organization from private/startup to public company.
• Experience in regulated industries (gaming, fintech, payments, healthcare).
• Prior experience building Player 360 / Customer 360 platforms.
• Deep hands-on experience with Terraform / IaC and production-grade streaming systems (Kafka, Kinesis, etc.).
• Familiarity with GenAI governance frameworks and scalable AI integration patterns such as Harness Engineering.
• Able to travel occasionally both domestically and internationally. #LI-REMOTE #LI-PROMOTE

About the Role:

We’re looking for a Product Manager who operates where data, strategy, and customer value meet. You’ll own and evolve our analytics domain, shaping the tools and experiences that transform raw data into clear, actionable insight. 

As the leader of the in-product Analytics team, you’ll push an already market-leading capability further by evolving dashboards from static reporting to intelligent systems powered by trend detection, predictive forecasting, anomaly identification, AI-generated insights and prescriptive recommendations that proactively guide customer decisions.

You will own one of Wrike’s most strategically important and highly adopted feature areas, used by our most active users across more than 17,000 customer accounts. This is not incremental optimization, it’s full ownership of the analytics experience end to end, from vision and data foundations to customer-facing insight delivery. You’ll set the direction, make the trade-offs, and drive execution for a capability that directly impacts enterprise decision-making, retention, and expansion.

Our Work Style:

You will have full ownership of the analytics roadmap and prioritization, with dedicated engineering and design resources aligned to this domain. This role operates with high autonomy and executive visibility, shaping not only feature delivery but the long-term direction of analytics across the Wrike platform.

Your Impact:

• Product strategy & roadmap: define and own the long-term vision and prioritization for Wrike’s in-product analytics, with a clear mandate to evolve the experience through AI-powered capabilities such as natural language querying, automated insight generation, forecasting and intelligent recommendations.

• Dashboard & visualization experience: lead the design and evolution of intuitive dashboard experiences, including customizable widgets (charts, tables, calendars), dynamic filtering/parameters, calculated fields, trend views, KPI blocks, and pivot capabilities that help customers understand and act on their data.

• Analytical infrastructure: Ensure the reliability and scalability of the data foundation powering customer-facing analytics, including well-structured data models, performant pipelines, real-time synchronization where applicable, and precise aggregation logic. Own and manage strategic partnerships with analytics technology providers such as Sisense and Snowflake to guarantee seamless integration, performance, and long-term platform evolution.

• Stakeholder engagement & adoption: Work with UX research, customer success, sales and enterprise customers to validate dashboard use cases, gather feedback on analytical needs and pain points, and drive adoption and value realization of analytics capabilities.

Your Qualifications:

• Experience: 4+ years of product management, preferably with SaaS products, with a strong track record in customer-facing analytics or reporting. 
• Customer-Centric Mindset: Strong empathy for customers and a passion for delivering exceptional user experiences.
• Product Discovery: You are experienced in conducting market research and user interviews to identify customer needs and pain points. You are also experienced in testing and validating potential solutions with real users to ensure that they effectively address the identified needs.
• Practical AI experience: Hands-on experience with leveraging AI technologies to streamline work and experience with the creation of AI-powered features.
• Collaboration Skills: Ability to work well with cross-functional teams and communicate effectively with many partners across different parts of the organization.

Why this Role is Unique:

• Intelligence transformation: lead Wrike’s evolution from reporting dashboards to proactive, AI-powered decision support.
• Strategic area ownership: Own a highly adopted, business-critical product area used across 17,000+ customer accounts.
• End-to-End scope: Shape everything from customer-facing insight experiences to underlying data models, pipelines, and strategic analytics partnerships.
• High autonomy, high visibility: Drive roadmap and long-term direction with dedicated resources and meaningful executive exposure.

Why Join Wrike?

• 25 calendar days of paid vacation
• Sick Leave Compensation (5 Paid Uncertified Sick Days)
• Parental Leave: 18 Weeks Maternity / 4 Week Paternity 
• 2 Volunteer Days
• Medical Insurance (Employees + Dependents)
• Hybrid Working Model
• School Allowance (Up to €600/month for school aged kids)
• Simcard w/ Unlimited Internet Access for active employees
• Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays

What’s next?

• Exploratory call with a Recruiter 
• Meeting with Product Director
• Panel Interview with our representatives of Engineering & Design
• Home Task
• Final Interview with CP
  
  

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.



#LI-AV1

About the Role:

We’re looking for a Product Manager who operates where data, strategy, and customer value meet. You’ll own and evolve our analytics domain, shaping the tools and experiences that transform raw data into clear, actionable insight. 

As the leader of the in-product Analytics team, you’ll push an already market-leading capability further by evolving dashboards from static reporting to intelligent systems powered by trend detection, predictive forecasting, anomaly identification, AI-generated insights and prescriptive recommendations that proactively guide customer decisions.

You will own one of Wrike’s most strategically important and highly adopted feature areas, used by our most active users across more than 17,000 customer accounts. This is not incremental optimization, it’s full ownership of the analytics experience end to end, from vision and data foundations to customer-facing insight delivery. You’ll set the direction, make the trade-offs, and drive execution for a capability that directly impacts enterprise decision-making, retention, and expansion.

Our Work Style:

You will have full ownership of the analytics roadmap and prioritization, with dedicated engineering and design resources aligned to this domain. This role operates with high autonomy and executive visibility, shaping not only feature delivery but the long-term direction of analytics across the Wrike platform.

Your Impact:

• Product strategy & roadmap: define and own the long-term vision and prioritization for Wrike’s in-product analytics, with a clear mandate to evolve the experience through AI-powered capabilities such as natural language querying, automated insight generation, forecasting and intelligent recommendations.

• Dashboard & visualization experience: lead the design and evolution of intuitive dashboard experiences, including customizable widgets (charts, tables, calendars), dynamic filtering/parameters, calculated fields, trend views, KPI blocks, and pivot capabilities that help customers understand and act on their data.

• Analytical infrastructure: Ensure the reliability and scalability of the data foundation powering customer-facing analytics, including well-structured data models, performant pipelines, real-time synchronization where applicable, and precise aggregation logic. Own and manage strategic partnerships with analytics technology providers such as Sisense and Snowflake to guarantee seamless integration, performance, and long-term platform evolution.

• Stakeholder engagement & adoption: Work with UX research, customer success, sales and enterprise customers to validate dashboard use cases, gather feedback on analytical needs and pain points, and drive adoption and value realization of analytics capabilities.

Your Qualifications:

• Experience: 4+ years of product management, preferably with SaaS products, with a strong track record in customer-facing analytics or reporting. 
• Customer-Centric Mindset: Strong empathy for customers and a passion for delivering exceptional user experiences.
• Product Discovery: You are experienced in conducting market research and user interviews to identify customer needs and pain points. You are also experienced in testing and validating potential solutions with real users to ensure that they effectively address the identified needs.
• Practical AI experience: Hands-on experience with leveraging AI technologies to streamline work and experience with the creation of AI-powered features.
• Collaboration Skills: Ability to work well with cross-functional teams and communicate effectively with many partners across different parts of the organization.

Why this Role is Unique:

• Intelligence transformation: lead Wrike’s evolution from reporting dashboards to proactive, AI-powered decision support.
• Strategic area ownership: Own a highly adopted, business-critical product area used across 17,000+ customer accounts.
• End-to-End scope: Shape everything from customer-facing insight experiences to underlying data models, pipelines, and strategic analytics partnerships.
• High autonomy, high visibility: Drive roadmap and long-term direction with dedicated resources and meaningful executive exposure.

Why Join Wrike?

• 5 Weeks of paid vacation
• Sick Leave Compensation 
  • 5 Paid Uncertified Sick Days
  • 2 weeks fully paid w/ medical certificate, additional 
  • 4 weeks paid at 80% salary rate
• Parental Leave (fully paid): 18 Weeks Maternity / 4 Week Paternity 
• 2 Volunteer Days
• Meal Vouchers (CZK 220 per working day)
• Annual Prague Travel Card (Lítačka)
• Hybrid Working Model
• Benefit budget with flexible options, including a MultiSport card, Canadian Medical membership, contributions to a pension savings plan and additional choices available through Benefit Plus

What’s next?

• Exploratory call with a Recruiter 
• Meeting with Product Director
• Panel Interview with our representatives of Engineering & Design
• Home Task
• Final Interview with CP
  
  

Your recruitment buddy will be Alexandra Vorobyova, Lead Recruiter.



#LI-AV1

Sony Music Product Design Engineering and Global Operations (PDE + GO) team is looking for a Senior Software Engineer to join our development team in our Tallinn, Estonia Office!

The Analytics Engineering Technical Lead will define and own the modeling architecture, standards, and technical direction within RSI’s cloud-native Data Platform. This role is accountable for ensuring that analytics-ready data is reliable, scalable, and aligned to long-term business needs across growth, operations, and risk.

You will lead the design and governance of core data models in Snowflake and dbt, establishing best practices that enable high-quality, self-service analytics without sacrificing trust or performance. As a hands-on technical leader, you will set standards for modeling, testing, documentation, and deployment while mentoring other Analytics Engineers and raising the overall technical bar of the team.

This role partners closely with Data Engineering, Analytics, and business stakeholders to translate evolving requirements into durable data products. You will help balance speed and governance, prioritize platform investments, and ensure our data foundation scales with the business.

Our modern data stack includes Snowflake, AWS, Python, Airflow, and dbt.

What You'll Do:

• Lead the design, development, and lifecycle management of curated datasets, dbt models, and analytics data marts aligned to business domains and metrics.
• Establish and evolve standards and best practices for dbt modeling, testing, documentation, and code organization to support long-term scalability.
• Ensure analytical datasets are accurate, reliable, and trusted, serving as a single source of truth for business, product, and stakeholders.
• Embed data quality checks, documentation, and governance directly into analytics pipelines.
• Partner closely with Product, Data Engineering and Analytics teams to translate business requirements into well-modeled, performant data products.
• Mentor and support Analytics Engineers through technical guidance, design reviews, and knowledge sharing.
• Continuously improve and modernize analytics workflows by introducing automation, tooling enhancements, and AI-assisted development where appropriate.
• This role includes technical leadership and mentoring responsibilities for the team, including other Analytics Engineers.

What You'll Bring:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related quantitative discipline.
• Technical Leadership: Proven experience defining technical direction, standards, and architectural decisions within analytics engineering or curation teams.
• Data Modeling Expertise: Deep understanding of dbt, data marts, dimensional modeling, and self-service BI enablement.
• Data Engineering Background: 7+ years of experience in data warehousing or development; 5+ years of experience in hands-on data engineering using SQL and Python.
• Cloud Infrastructure: Proficiency with cloud platforms (AWS, GCP, or Azure), including containerization (Docker/Kubernetes).
• Tooling & Orchestration: Experience with tools like dbt, Airflow, S3, REST APIs, and large-scale DWHs (Snowflake, Redshift, BigQuery, etc.).
• Change Management: Skilled at leading cross-functional data initiatives and driving adoption of new tools and standards.
• People Leadership: Experience mentoring and guiding distributed teams across time zones.
• Communication: Strong written and verbal English skills with the ability to collaborate across technical and business functions.
• Able to travel occasionally both domestically and internationally #LI-HYBRID

We're looking for a Senior Analytics Engineer to own and scale Bolt's Competitive Intelligence data domain at Rides, Finance. From third-party vendor ingestion to production-grade data models, you'll build the foundation that powers trusted dashboards, high-impact strategic analyses, and data-driven decisions across the business.

Are you ready to make a global impact? Join us!

Bolt is one of the fastest-growing tech companies in Europe and Africa, with over 200 million customers in 50+ countries. We’re a global team of more than 100 nationalities joined on a common mission – to make cities for people, not cars. And we need you to make it happen!

As a Senior Analytics Engineer in the Competitive Intelligence domain, you'll own the end-to-end data architecture behind Bolt's competition-related metrics and insights. That means building and maintaining a scalable, reliable, and well-governed data foundation: from ingesting third-party vendor data to delivering curated, analytics-ready data marts used by teams across the organisation.

This role sits at the intersection of data engineering and analytics, with a strong emphasis on technical ownership. You'll design robust pipelines, codify consistent business logic, and ensure competition data is production-grade, trustworthy, and built to last. Equally important is developing a deep understanding of how this data gets used: the strategic analyses it enables and the business decisions it informs, so that the models and metrics you build are accurate, meaningful, and grounded in real-world context.

You'll work closely with analysts and business stakeholders to make sure the data foundation reflects genuine strategic needs. The role is engineering-focused at its core, but its impact depends on strong partnership with the teams who rely on these insights every day.

• Design and maintain the end-to-end data model (raw → staging → intermediate → marts) using dbt, ensuring clear documentation, lineage, and maintainability across all data assets.
• Develop reusable data products: datasets, models, and metric layers, that power dashboards, analyses, and automated systems across Bolt.
• Design and manage ingestion pipelines for third-party competitive intelligence vendors (APIs, SFTP, batch files), including schema management, validation, and change handling.
• Implement data quality checks, monitoring, and alerting to ensure pipelines are reliable, secure, and aligned with Bolt's data platform standards.
• Define, standardise, and maintain competition-related KPIs and metric logic to ensure consistent interpretation across analytics and business teams.
• Optimise warehouse performance and cost efficiency for competition-related workloads, and enable teams through clear metric definitions and documentation.

• Hands-on experience with dbt (or Dataform) in production environments, including orchestration tools such as Airflow.
• Advanced SQL skills with a strong track record of building production-grade transformation layers.
• Experience integrating third-party data sources via APIs or batch ingestion pipelines.
• Proficiency with modern analytical data platforms such as Databricks, BigQuery, or Snowflake, including data modelling, performance optimisation, and cost management.
• Experience designing dimensional data models (fact tables, SCDs, data marts) and strong Python skills for pipeline development and automation.
• Experience implementing data quality testing, monitoring, and governance practices, with comfort in Git-based workflows and CI/CD.

Experience is great, but we also look for drive, intelligence, and integrity. So, even if you don’t tick every box, please consider applying if you feel you’re the kind of person described above!

• Play a direct role in shaping the future of mobility.
• Impact millions of customers and partners in 600+ cities across 50+ countries.
• Work in fast-moving autonomous teams with some of the smartest people in the world.
• Accelerate your professional growth with unique career opportunities.
• Get a rewarding salary and stock option package that lets you focus on doing your best work.
• Enjoy the flexibility of working in a hybrid mode with a minimum of 2 days in the office each week to foster strong connections and teamwork.
• Take care of your physical and mental health with our wellness perks.

*Some perks may differ depending on your location and role.

Hello from Inbank! If you’ve ever bought something in three instalments or financed your gadget purchase online or in a shop, there’s a good chance you’ve used something we built.

We’re not here to be another bank. At Inbank, we’re a modular finance platform that helps businesses grow and customers pay with ease. We believe banking should feel invisible, an effortless layer that powers every great digital experience. Today, our financing rails are woven into the flow of 6,000+ leading retailers, giving around half a million customers a one-tap way to pay while turbo-charging merchants’ growth.

There are already 440+ of us across Estonia, Latvia, Lithuania, Poland, and Czechia, and we’re continuing to grow as we help thousands of retailers expand their business and reach millions of shoppers.

We’re looking for a Senior Data Platform Engineer to join our Data Warehouse team and help shape and scale our cloud data platform. This is a hands-on senior individual contributor role for someone who can design, build, and operate reliable data pipelines — and, most importantly, bring strong senior-level dbt expertise to the team.

What you’ll be doing?

• Owning and evolving core data platform capabilities such as CI/CD, environment management, observability, and access control to ensure the platform is scalable, reliable, and easy to build on.
• Building and owning data pipelines and transformations on our Snowflake-based data platform.
• Leading the design and implementation of dbt-based ELT, including scalable modelling, testing, and documentation.
• Developing orchestration, ingestion, and automation solutions using Airflow and Python.
• Improving developer experience and raising engineering standards across testing, deployment, maintainability, and platform operations.
• Partnering with analytics and business stakeholders to translate requirements into reliable, secure, production-grade datasets.

What we’re really looking for?

This role is for a Senior Engineer with strong hands-on experience in dbt. We’re looking for someone who has worked with dbt in production and is excited to help evolve and scale best practices across the team.

Ideally, you’d have:

• Solid experience building and operating modern data platforms on AWS using Snowflake, dbt, Airflow, and Python.
• Senior-level mastery of dbt: designing modular models, enforcing testing standards, structuring projects for scale, improving documentation, and making sound architectural decisions.
• Deep understanding of data modelling, ELT design, warehouse performance optimisation, and production-grade data engineering.
• Proven experience owning production data pipelines and making pragmatic technical trade-offs.
• A quality-focused mindset: you care about reliable, well-tested, well-documented, and trusted data.
• A security-focused mindset: you design and operate data platforms with attention to access control, data protection, change management, and the needs of a regulated environment.

If you’re excited about this role but don’t meet every requirement, we still encourage you to apply — we value diverse experiences and perspectives and believe great people grow into great roles.

What you’ll get in return?

• A competitive salary tailored to your experience, along with a comprehensive benefits package.
• Wellbeing support through sports compensation or additional health insurance to help you stay active and healthy.
• Extra vacation days after your third year, giving you more time to rest and recharge.
• A 6-week paid sabbatical after four years, recognising strong performance and long-term contribution.
• A dynamic and inspiring work environment where you’re encouraged to grow and take ownership of your work.
• Flexibility through a hybrid and autonomous way of working, built on trust and accountability.
• The opportunity to collaborate with talented international colleagues across multiple markets.
• Regular team events and additional perks that make work more enjoyable and help celebrate successes together. 

Sounds like a fit?

Apply, and our recruitment team will be in touch. If you’re unsure but curious, apply anyway, we’d be happy to explore the fit with you.