Writing.io Jobs

Realize your potential by joining the leading performance-driven advertising company!

As a Technical Support Engineer on the team in our Budapest office you are the technical owner of OEM and publisher partner relationships from a support perspective. You investigate revenue and inventory anomalies, debug ad-serving and tracking issues, triage feed-ingestion and content-categorization problems, and partner with R&D to root-cause and fix issues spanning product, infrastructure and algorithmic layers.

This is a deeply technical, high-ownership, AI-forward role. The team runs a production portfolio of internal AI tooling — RCA agents, investigation apps and monitoring automation deployed on an internal platform — that has cut investigation times on several workflows from hours to minutes. You will use that tool kit, extend it, and build new pieces of it. Expect to write SQL, Kusto and BigQuery, read code, navigate distributed systems, communicate clearly with R&D and business partners, and use AI tooling fluently as a force multiplier for all of the above.

To thrive in this role, you’ll need:

• Strong SQL. Comfortable with complex multi-join queries, CTEs and window functions against large analytical datasets.
• Experience in technical support, technical operations or production engineering on a complex distributed system.
• Able to read code well enough to trace logic and locate issues.
• Strong written and verbal English; able to communicate technical findings to engineers and business stakeholders alike.
• Investigative mindset — you enjoy converging on the root cause from an ambiguous problem report.
• AI fluency. Daily use of AI coding assistants and LLM tooling for code, queries, log analysis, summarisation and small automations. Willing to build internal tools rather than wait for them.

Bonus points if you have:

• Hands-on experience building agents, MCPs or AI-assisted automations, beyond using off-the-shelf assistants.
• Ad-serving systems experience (DFP/GAM, programmatic, fallback paths, attribution, tracking).
• RSS feed-ingestion pipeline experience.
• Production monitoring and on-call experience (alerts, dashboards, incident response).

How you’ll make an impact:

• Investigate publisher-side and OEM-partner technical issues end to end: revenue drops, inventory imbalances, tracking gaps, ad-serving fallback issues, content categorization errors, feed ingestion problems.
• Write and refine SQL (MySQL, Vertica), KQL (Kusto), and BQ (BigQuery) against production data sources. Use Grafana, Kibana, Tableau, and internal tooling to monitor and drill into anomalies.
• Build, tune and own production alerts for the surfaces you cover.
• Share PagerDuty on-call and production-incident response for Taboola News.
• Operate and extend the team’s AI tooling portfolio — RCA agents, investigation apps, monitoring automation — and take ownership of stalled initiatives with existing internal demand.
• Partner with R&D and Product: triage what needs engineering involvement, frame the technical question, follow through to resolution.
• Build internal tooling and runbooks with AI assistance; document recurring investigation patterns.
• Identify systemic patterns across tickets and feed them back into product or platform improvements.

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking)
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

By submitting your application/CV, any personal information you provide will be subject to Taboola’s Candidates Data Policy. Please review our policy carefully before submitting any of your personal information. You may contact us at privacy@taboola.com with any questions about how we collect or use your personal information, or your applicable rights.

#LI-SRM1

#LI-Hybrid

Realize your potential by joining the leading performance-driven advertising company!

As a Technical Support Engineer on the team in our Budapest office you are the technical owner of OEM and publisher partner relationships from a support perspective. You investigate revenue and inventory anomalies, debug ad-serving and tracking issues, triage feed-ingestion and content-categorization problems, and partner with R&D to root-cause and fix issues spanning product, infrastructure and algorithmic layers.

This is a deeply technical, high-ownership, AI-forward role. The team runs a production portfolio of internal AI tooling — RCA agents, investigation apps and monitoring automation deployed on an internal platform — that has cut investigation times on several workflows from hours to minutes. You will use that tool kit, extend it, and build new pieces of it. Expect to write SQL, Kusto and BigQuery, read code, navigate distributed systems, communicate clearly with R&D and business partners, and use AI tooling fluently as a force multiplier for all of the above.

To thrive in this role, you’ll need:

• Strong SQL. Comfortable with complex multi-join queries, CTEs and window functions against large analytical datasets.
• Experience in technical support, technical operations or production engineering on a complex distributed system.
• Able to read code well enough to trace logic and locate issues.
• Strong written and verbal English; able to communicate technical findings to engineers and business stakeholders alike.
• Investigative mindset — you enjoy converging on the root cause from an ambiguous problem report.
• AI fluency. Daily use of AI coding assistants and LLM tooling for code, queries, log analysis, summarisation and small automations. Willing to build internal tools rather than wait for them.

Bonus points if you have:

• Hands-on experience building agents, MCPs or AI-assisted automations, beyond using off-the-shelf assistants.
• Ad-serving systems experience (DFP/GAM, programmatic, fallback paths, attribution, tracking).
• RSS feed-ingestion pipeline experience.
• Production monitoring and on-call experience (alerts, dashboards, incident response).

How you’ll make an impact:

• Investigate publisher-side and OEM-partner technical issues end to end: revenue drops, inventory imbalances, tracking gaps, ad-serving fallback issues, content categorization errors, feed ingestion problems.
• Write and refine SQL (MySQL, Vertica), KQL (Kusto), and BQ (BigQuery) against production data sources. Use Grafana, Kibana, Tableau, and internal tooling to monitor and drill into anomalies.
• Build, tune and own production alerts for the surfaces you cover.
• Share PagerDuty on-call and production-incident response for Taboola News.
• Operate and extend the team’s AI tooling portfolio — RCA agents, investigation apps, monitoring automation — and take ownership of stalled initiatives with existing internal demand.
• Partner with R&D and Product: triage what needs engineering involvement, frame the technical question, follow through to resolution.
• Build internal tooling and runbooks with AI assistance; document recurring investigation patterns.
• Identify systemic patterns across tickets and feed them back into product or platform improvements.

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking)
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

By submitting your application/CV, any personal information you provide will be subject to Taboola’s Candidates Data Policy. Please review our policy carefully before submitting any of your personal information. You may contact us at privacy@taboola.com with any questions about how we collect or use your personal information, or your applicable rights.

#LI-SRM1

#LI-Hybrid

CSQ227R258

As a Forward Deployed Engineer (FDE), you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks Platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get the most value out of their data.

This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specifications with exceptional customer empathy.

Location: San Francisco Bay Area Preferred

This role is San Francisco Bay Area-focused. We’re looking for someone who is based in the San Francisco Bay Area, willing to relocate or able to travel to the area at least one week per month to spend meaningful time with customers and the team.

The impact you will have:

• Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
• Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
• Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers’ successful understanding, evaluation and adoption of Databricks.
• Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer’s needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
• Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• 6+ years of experience in data engineering, data platforms & analytics, or software engineering
• Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps, ML/AI models and AI APIs
• Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
• Documentation and white-boarding skills.
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range
• Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$182,000—$250,208 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.