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Data Engineer

Customer Outcomes Manager

DevRev

Ljubljanafulltime

Apply on the employer's site

Role description

About the role

Customer Outcomes is DevRev's unified post-sales function, a deliberate merger of Customer Success and Customer Support into one team that owns the full customer lifecycle from go-live to renewal. Instead of handing customers between siloed teams, a Customer Outcomes Manager owns accounts end-to-end: resolving tickets, driving adoption, managing escalations and ensuring customers extract measurable value from what they purchased.

Computer is your multiplier. DevRev's AI agent handles first-line triage, ticket classification, routing, knowledge retrieval, and deflection, freeing you to focus on what AI can't do: strategic enablement, relationship building, and driving outcomes that require human judgment. Your effectiveness is measured not just by what you do directly, but by how well you leverage Computer to scale your impact across your portfolio.

Why this role exists:

Traditional SaaS splits post-sales into Support (reactive, ticket-focused) and Customer Success (proactive, relationship-focused). That creates handoff gaps, duplicated context, and customers feeling bounced between teams. At DevRev, the person who resolves a customer's bug should also drive their adoption - because they understand the customer's pain better than anyone.

What you'll own:

Ticket lifecycle management (powered by Computer)

An AI Tech Support Engineer manages the ticket lifecycle, working alongside Computer to handle resolution at scale.

  • Respond to tickets with Computer assistance; Computer drafts, you review and personalize.
  • Use Computer for knowledge retrieval, similar-ticket lookup, and suggested resolutions before starting from scratch.

Adoption and value delivery

  • Drive adoption across your portfolio: build onboarding and enablement plans, set value milestones, and guide customers from go-live to full activation.
  • Track usage trends and flag drops early using Computer's anomaly signals, then turn those signals into proactive outreach before they become friction.
  • Run enablement sessions and product walkthroughs for new features and capabilities, tailored to each customer's use case and maturity.
  • Ensure products purchased are products used, compare entitlements against actual usage, close adoption gaps, and surface underused capabilities the customer is paying for.
  • Build and maintain account success plans: document each customer's goals, success criteria, and the path to realizing them.
  • Translate product usage into business value, quantify outcomes (time saved, cost avoided, deflection achieved) and bring that story to reviews.
  • Generate account health reports, QBR materials, and adoption analyses on demand, and use them to drive customer conversations and internal prioritization.
  • Capture recurring needs and friction patterns, and feed them back to Product to shape the roadmap.

Relationship and commercial

  • Maintain a regular meeting cadence with your accounts.
  • Keep relationships multi-threaded; engage executive sponsors regularly.
  • Identify and flag expansion opportunities.
  • Run formal renewal reviews for accounts approaching expiry.
  • Know your customer so you can be a trusted advisor for AI strategies using Devrev.

What you'll bring:

Core competencies

  • Technically oriented and AI-capable - able to use AI to work effectively; understands APIs, and explains root causes to both engineers and customers.
  • Account ownership, comfortable owning a large B2B portfolio end-to-end, from ticket resolution through business reviews.
  • Communication, runs customer calls confidently, writes clear RCA reports and QBR materials, and gives concise internal updates.
  • AI-native workflow, embraces Computer as the operating layer; actively trains the model and measures leverage through automation.
  • Commercial awareness, understands ACV, tracks utilization, spots expansion signals, connects usage to renewal confidence.
  • Ambiguity tolerance, this is a new operating model; you'll help shape it, not just follow playbooks.

Experience

  • 3+ years in customer-facing technical roles (support engineering, solutions engineering, CSM, or technical account management).
  • Hands-on with at least one of: ticketing systems, CRM, workflow automation, analytics platforms, or developer tools.
  • Background in enterprise SaaS, or high-volume support environments preferred.
  • Experience across both support and success motions is highly valued.

The Customer Outcomes team is living proof that the convergence of support, success, and AI works. Computer makes the model possible. You make it excellent. Highly driven individuals who are motivated to transform the way Customer Experience is delivered are especially sought after.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Data Analyst (E-commerce)

Tasty Dose

Ljubljana

Apply on the employer's site

Role description

Smo Tasty Dose ena najhitreje rastočih e-commerce zgodb v regiji. In to je šele začetek! 🚀

Razvijamo okusne funkcionalne napitke, ki izboljšujejo počutje in performance. Razviti v Sloveniji, uporabljeni vsak dan po celi Evropi.

Najbolj smo poznani po Coffee 2.0, ki smo jo ljudem postregli že v več kot 10.000.000 skodelicah.

Prisotni smo v 8 EU državah, najdeš pa nas tudi na policah DM Slovenija in Tuš drogerij.

Iščemo nekoga, ki ne išče samo službe, ampak želi biti del hitro rastoče zgodbe, ki premika meje mogočega.

Če si tip človeka, ki stvari ne samo naredi, ampak jih naredi bolje kot večina, beri naprej.

Več o nas:
Tasty Dose

Tvoj naziv:
Data Analyst (E-commerce)

Kot Data Analyst boš povezoval podatke iz različnih virov ter jih pretvarjal v uporabne vpoglede, ki bodo pomagali pri rasti spletne prodaje, optimizaciji marketinga in sprejemanju strateških odločitev.

Tvoje glavne naloge:

-
zbiranje, povezovanje in upravljanje podatkov iz spletne trgovine, marketinških platform, CRM-ja, analitičnih orodij ter drugih virov,

- skrb za kakovost, točnost in konsistentnost podatkov ter sodelovanje pri razvoju podatkovne in BI infrastrukture,

- priprava analiz, dashboardov in rednih poročil za spremljanje poslovanja,

- analiza ključnih e-commerce metrik, kot so
LTV, CAC, retention, konverzije in profitabilnost
,

- analiza uspešnosti marketinških kampanj, prodaje, produktov in posameznih trgov,izvajanje ad-hoc analiz za vodstvo in različne ekipe,

- prepoznavanje trendov, vzorcev in priložnosti za izboljšave,

- razvoj in izboljševanje BI sistemov, analitičnih procesov in avtomatizacij,

- pretvarjanje podatkov v konkretne poslovne predloge ter sodelovanje z vodstvom, marketingom, product in drugimi ekipami pri sprejemanju odločitev.

Tehnično okolje, v katerem boš delal:

Shopify, BigQuery + SQL, dbt, GA4, Cloud Run, Apps Script, Looker Studio, Google Sheets.

Kaj pričakujemo?

-
izkušnje na področju podatkovne analitike, BI ali podobnega področja,

- dobro razumevanje e-commerce in marketinških metrik,

- analitično razmišljanje in sposobnost kompleksne podatke pretvoriti v jasne poslovne vpoglede,

- razumevanje podatkovnih struktur in dela z različnimi viri podatkov,

- samostojnost, natančnost in sistematičnost,

- sposobnost učinkovitega sodelovanja z različnimi ekipami,

- zelo dobro znanje angleškega jezika.

Prednost predstavljajo izkušnje z e-commerce podjetji, BI sistemi, podatkovnimi bazami, API integracijami ali avtomatizacijo podatkovnih procesov.

Kaj ponujamo?

-
pomembno in vplivno vlogo v hitro rastočem e-commerce podjetju,

- delo s podatki, ki neposredno vplivajo na poslovne odločitve in rast,

- možnost razvoja podatkovne in BI infrastrukture,

- veliko prostora za samostojnost in prevzemanje odgovornosti,

- sodelovanje z ambiciozno in mednarodno ekipo,

- delo na več evropskih trgih,

- možnost osebnega in kariernega razvoja,

- konkurenčno plačilo glede na izkušnje in znanje.

Če te motivira delo s podatki in želiš svoje analitično znanje uporabiti v okolju, kjer imajo tvoji vpogledi neposreden vpliv na poslovanje, te vabimo k prijavi.

⬇️ Izpolni vprašalnik in se nam pridruži. ⬇️

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Senior Manager, Revenue Planning and Performance Analytics (m/f/d)

Sportradar

Ljubljanafulltimesenior

Apply on the employer's site

Role description

We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

Job Description

Driving profitable growth through commercial intelligence, structural rigor & strategic steering

ABOUT US

As the market leader in sports technology, Sportradar (NASDAQ: SRAD) is positioned at the center of the sports ecosystem. Our broader Financial Planning & Analysis organization plays a critical role in delivering extraordinary growth; we’re targeting a 15% CAGR for revenue while consistently expanding margin and cash conversion. In an industry where AI is redefining fan engagement, our finance leaders must be as sophisticated as our technology: combining financial discipline with commercial acumen and advanced analytics to unlock opportunities across a market growing at double-digit percent annually.

THE CHALLANGE

Reporting to the VP of Revenue Performance & Planning, you are the primary performance auditor of commercial outcomes. You don't just report numbers; you interrogate them and recommend the way forward to maximize value. Your mission is to identify the "why" behind performance trends that you package to a compelling story to drive a business decision. You provide the critical challenge required for driving revenue and margin, guiding business counterparts through a transformative planning process that prioritizes drivers over pure outcomes.

  • Proactive revenue performance analysis: move past outcomes to identify the specific revenue drivers (e.g., usage, churn, pricing, market) that management must focus on.
  • Revenue forecast pressure-testing: Interrogate the inputs that feed our global P&L to ensure every forecast is achievable and rooted in actionable drivers.
  • Logic refinement: Identify and dismantle broken assumptions in commercial plans and rebuild them into actionable, robust frameworks.
  • Causal synthesis: Translate complex technical and commercial data into clear, authoritative narratives for senior stakeholders.

Key responsibilities

  • Driver autopsy: Conduct deep-dives into revenue beats or misses to distinguish between one-time windfalls and core structural trends.
  • Planning guidance: Lead commercial counterparts through the forecasting and budgeting process to ensure submissions are robust and logically sound.
  • Business modeling: Create elegant solutions for complex business topics like pricing elasticity and market entry costs.
  • Build automated revenue reporting using advanced analytical and reporting tools on top of data warehouse and billing data sets to steer commercial decision making

ABOUT YOU

You ask smart questions and refuse to accept surface-level explanations. You enable business success by providing the "so-what" that others miss. You are a "fixer" who enjoys the challenge of untangling messy data problems to find a clear path forward.

What we're looking for

  • Experience

: 5-8 years in a multidisciplinary finance, analytics, and/or consulting role.

  • Archetype

: We seek high proficiency in either commercial finance or commercial analytics.

  • Education

: MBA or relevant master’s degree preferred.

  • Technical requirement

: SQL, Power BI / Tableau, and AI agents knowledge is essential. Experience with Python or n8n/workflow automation is highly valued.

  • Mindset

: An "accountability" mindset - you value the strength of a plan over the speed of its delivery.

Additional Information

At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Staff Database Engineer [m/f/d]

Sportradar

Ljubljanafulltimelead

Apply on the employer's site

Role description

We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

Job Description

ABOUT US

Managed Sportsbook Services provides end-to-end sportsbook operations, covering risk management and odds provisioning across supported sports and markets. The service ensures continuous operational support for sportsbook activities, enabling stable and consistent delivery of betting services.

THE CHALLENGE

You will take on a staff, hands-on role within the database team, directly supporting the 24/7 operation of MSS and customer databases. You will be actively involved in the design, administration, and support of database systems across development, test, and production environments.

You’ll be expected to take ownership of complex technical work-resolving incidents, delivering technical implementations, and working closely with engineers, project teams, and stakeholders to ensure robust, secure, and high-performing database services under high transaction volumes.

Key Responsibilities

Hands-On Technical Contribution

  • Take ownership of complex database activities including performance tuning, troubleshooting, migrations, and architecture design.
  • Act as a senior technical escalation point for complex incidents, including performance degradation, locking and blocking issues, and data integrity problems.
  • Participate in a 24/7 on-call rotation to support critical production systems.
  • Promote and apply best practices in database administration, tuning, query optimisation, documentation, and automation.

Technical Database Management

  • Perform hands-on installation, configuration, tuning, patching, and upgrading of Oracle 12c/18c/19c on Linux and Windows platforms.
  • Ensure optimal performance and availability through proactive monitoring and tuning.
  • Design, implement, and maintain backup and recovery strategies using RMAN and Data Guard.
  • Create and maintain operational documentation and configuration standards.

Performance Optimisation & Query Tuning

  • Analyse and optimise SQL queries using execution plans, AWR/ASH reports, SQL Trace, and Oracle Diagnostics Pack.
  • Identify and remediate inefficient SQL, poor indexing strategies, and suboptimal optimizer statistics.
  • Investigate and resolve locking, blocking, and deadlock scenarios, including root cause analysis and long-term preventative measures.
  • Work with application and engineering teams to improve query design, schema structures, and transaction handling.
  • Tune memory structures (SGA/PGA), I/O, and resource usage to support high transaction volumes and low-latency workloads.

Cloud Technologies (AWS / OCI)

  • Design and implement cloud-based database solutions using AWS RDS and OCI DBaaS.
  • Perform hands-on migrations from on-premises to cloud environments using tools such as Oracle GoldenGate.
  • Monitor and optimise cloud resource utilisation for performance, cost efficiency, and scalability.

Security & Compliance

  • Implement and maintain database security controls including auditing, encryption, and access management.
  • Carry out patching and vulnerability remediation in collaboration with infrastructure and security teams.
  • Ensure systems meet compliance and regulatory requirements.

Monitoring & Incident Management

  • Define and track technical KPIs related to database uptime, performance, reliability, and query efficiency.
  • Use tools such as Oracle Diagnostics Pack, OEM, Zabbix, and Grafana to monitor system health and identify performance bottlenecks.
  • Perform detailed root cause analysis for performance incidents, including SQL regressions, deadlocks, and resource contention.
  • Implement permanent fixes and automation to prevent recurrence of operational issues.

Success will be evaluated by

  • Technical quality and impact of your hands-on contributions.
  • Reliability, performance, and availability of database systems.
  • Effectiveness in automating database administrative duties, incident handling, change execution, and project delivery.
  • Accuracy and completeness of technical documentation and reporting.
  • Proactive improvements in system performance and operational stability.
  • Stakeholder satisfaction and service continuity.

ABOUT YOU

  • You’re a senior-level Oracle DBA with strong hands-on experience in Oracle 12c/18c/19c, container/pluggable and autonomous databases, and a track record of delivering in high-availability environments.
  • You have experience working collaboratively within DBA or infrastructure teams and supporting less experienced colleagues when needed.
  • You thrive in deeply technical roles where you’re actively solving problems and delivering solutions.
  • You’re comfortable working across on-prem and cloud platforms, including AWS and Oracle Cloud.
  • You have deep knowledge of backup, recovery, security, and performance tuning best practices.
  • You're calm under pressure, detail-oriented, and focused on continuous technical improvement.

Additional Information

At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Data Engineer

Customer Outcomes Manager

DevRev

Ljubljanafulltime

Apply on the employer's site

Role description

About DevRev
At DevRev, we're building the future of work with
Computer
– your AI teammate. Unlike traditional tools,
Computer
unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.

About The Role
Customer Outcomes is DevRev's unified post-sales function, a deliberate merger of Customer Success and Customer Support into one team that owns the full customer lifecycle from go-live to renewal. Instead of handing customers between siloed teams, a Customer Outcomes Manager owns accounts end-to-end: resolving tickets, driving adoption, managing escalations and ensuring customers extract measurable value from what they purchased.

Computer is your multiplier. DevRev's AI agent handles first-line triage, ticket classification, routing, knowledge retrieval, and deflection, freeing you to focus on what AI can't do: strategic enablement, relationship building, and driving outcomes that require human judgment. Your effectiveness is measured not just by what you do directly, but by how well you leverage Computer to scale your impact across your portfolio.

Why this role exists

Traditional SaaS splits post-sales into Support (reactive, ticket-focused) and Customer Success (proactive, relationship-focused). That creates handoff gaps, duplicated context, and customers feeling bounced between teams. At DevRev, the person who resolves a customer's bug should also drive their adoption - because they understand the customer's pain better than anyone.

What You'll Own
Ticket lifecycle management (powered by Computer)
An AI Tech Support Engineer manages the ticket lifecycle, working alongside Computer to handle resolution at scale.

  • Respond to tickets with Computer assistance; Computer drafts, you review and personalize.
  • Use Computer for knowledge retrieval, similar-ticket lookup, and suggested resolutions before starting from scratch.

Adoption and value delivery

  • Drive adoption across your portfolio: build onboarding and enablement plans, set value milestones, and guide customers from go-live to full activation.
  • Track usage trends and flag drops early using Computer's anomaly signals, then turn those signals into proactive outreach before they become friction.
  • Run enablement sessions and product walkthroughs for new features and capabilities, tailored to each customer's use case and maturity.
  • Ensure products purchased are products used, compare entitlements against actual usage, close adoption gaps, and surface underused capabilities the customer is paying for.
  • Build and maintain account success plans: document each customer's goals, success criteria, and the path to realizing them.
  • Translate product usage into business value, quantify outcomes (time saved, cost avoided, deflection achieved) and bring that story to reviews.
  • Generate account health reports, QBR materials, and adoption analyses on demand, and use them to drive customer conversations and internal prioritization.
  • Capture recurring needs and friction patterns, and feed them back to Product to shape the roadmap.

Relationship and commercial

  • Maintain a regular meeting cadence with your accounts.
  • Keep relationships multi-threaded; engage executive sponsors regularly.
  • Identify and flag expansion opportunities.
  • Run formal renewal reviews for accounts approaching expiry.
  • Know your customer so you can be a trusted advisor for AI strategies using Devrev.

What You'll Bring
Core competencies

  • Technically oriented and AI-capable - able to use AI to work effectively; understands APIs, and explains root causes to both engineers and customers.
  • Account ownership, comfortable owning a large B2B portfolio end-to-end, from ticket resolution through business reviews.
  • Communication, runs customer calls confidently, writes clear RCA reports and QBR materials, and gives concise internal updates.
  • AI-native workflow, embraces Computer as the operating layer; actively trains the model and measures leverage through automation.
  • Commercial awareness, understands ACV, tracks utilization, spots expansion signals, connects usage to renewal confidence.
  • Ambiguity tolerance, this is a new operating model; you'll help shape it, not just follow playbooks.

Experience

  • 3+ years in customer-facing technical roles (support engineering, solutions engineering, CSM, or technical account management).
  • Hands-on with at least one of: ticketing systems, CRM, workflow automation, analytics platforms, or developer tools.
  • Background in enterprise SaaS, or high-volume support environments preferred.
  • Experience across both support and success motions is highly valued.

The Customer Outcomes team is living proof that the convergence of support, success, and AI works. Computer makes the model possible. You make it excellent. Highly driven individuals who are motivated to transform the way Customer Experience is delivered are especially sought after.

DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

2 more openings in this category and country

Customer Outcomes ManagerDevRev · Slovenia

Apply on the employer's site