Star

We are looking for an AI Engineer (Research & Development). As an AI Engineer, you will join the R&D team working on AI products and help scale the AI offering through marketing activity.

Skills and experience you can bring to this role!

Qualifications & experience:

• You are particularly interested in emerging AI tech, LLMs, and generative AI. You follow the news, new developments, and academic research. You are excited about its potential impact on product development in the upcoming years;
• You are interested in going beyond the technical side. You could work as a consultant, demonstrate an understanding of business and product aspects, and generate product ideas;
• You understand and can explain how business value could be generated out of the use of AI technologies;
• You have built ML/AI powered solutions and used available services & tools and/or built bespoke ML models/solutions;
• You've investigated the practical application of generative AI/LLMs through pet projects and PoCs, exploring ready-to-go products, and you can demonstrate or discuss the output;
• You have experience in LLMs/SLMs assessment, selection, and fine-tuning for the specific use case;
• You enjoy writing code, preferably in Python and have 3+ years of experience in commercial development;
• You know what prompt engineering, vector databases, embeddings, multi-stage reasoning, RAG, and MLOps are, and you have had a practical (could be non-commercial) experience with some of the listed things;
• You enjoy communication and can talk to both technical and non-technical stakeholders.

Nice to have: 

• You have previous experience in data engineering;
• You are active in the growing AI community, attend webinars, events, and meetups, or are interested in becoming active;
• You have some front-end experience building simple UIs to demonstrate solutions end-to-end or are open to gaining such;
• You are interested in developing a personal brand through participation in content creation in collaboration with marketing & AI Lab.

What impact you’ll make

• Participate in research and development activities by working on Star's internal AI products;
• Create proof of concepts for our clients and prospects, focusing on applying AI technologies;
• Monitor and research changes in the AI developer ecosystem and approaches and apply them in practice to develop Star's AI capabilities;
• Participate in client calls during late sales cycle stages, present technical expertise, and help build solutions; 
• Act as a subject matter expert on AI to assist with Star's marketing and branding efforts.

We are looking for you!

As we architect the next wave of data solutions in the AdTech and MarTech sectors, we're looking for a Senior Data Engineer—a maestro in data architecture and pipeline design. If you're a seasoned expert eager to lead, innovate, and craft state-of-the-art data solutions, we're keen to embark on this journey with you.

Contract type: Gig contract.

Skills and experience you can bring to this role

Qualifications & experience:

• 6+ years of intensive experience as a Data Engineer or in a similar role, with a demonstrable track record of leading large-scale projects;
• Mastery in Python, SQL;
• Deep understanding and practical experience with cloud data warehouses (Snowflake, BigQuery, Redshift);
• Extensive experience building data and ML pipelines;
• Experience with modern Scrum-based Software Development Life Cycle (SDLC);
• Deep understanding of Git and its workflows;
• Open to collaborating with data scientists and businesses.

Nice to have:

• Hands-on experience with Dagster, dbt, Snowflake and FastAPI;
• Proven expertise in designing and optimizing large-scale data pipelines;
• Comprehensive understanding of data governance principles and data quality management practices;
• Understand marketing and media metrics (i.e., what conversion rate is and how it is calculated);
• Exceptional leadership, communication, and collaboration skills, with a knack for guiding and nurturing teams.
   

Educational requirements:

• Bachelor’s degree in Computer Science, Information Systems, or a related discipline is preferred. A Master's degree or higher is a distinct advantage.

What impact you’ll make 

• Lead the design, development, testing, and maintenance of scalable data architectures, ensuring they align with business and technical objectives;
• Spearhead the creation of sophisticated data pipelines using Python, leveraging advanced Snowflake capabilities such as Data Shares, Snowpipe, Snowpark, and more;
• Collaborate intensively with data scientists, product teams, and other stakeholders to define and fulfill intricate data requirements for cross-channel budget optimization solutions;
• Drive initiatives for new data collection, refining existing data sources, and ensuring the highest standards of data accuracy and reliability;
• Set the gold standard for data quality, introducing cutting-edge tools and frameworks to detect and address data inconsistencies and inaccuracies; 
• Identify, design, and implement process improvements, focusing on data delivery optimization, automation of manual processes, and infrastructure enhancements for scalability.

What you’ll get 

Regardless of your position or role, we have a wide array of benefits in place, including flexible working (hybrid/remote models) and generous time off policies (unlimited vacations, sick and parental leaves) to make it easier for all people to thrive and succeed at Star. On top of that, we offer an extensive reward and compensation package, intellectually and creatively stimulating space, health insurance and unique travel opportunities.

Your holistic well-being is central at Star. You'll join a warm and vibrant multinational environment filled with impactful projects, career development opportunities, mentorship and training programs, fun sports activities, workshops, networking and outdoor meet-ups.

We are looking for you! 

We’re looking for a senior marketing operations manager who will own our marketing tech stack, data, and processes end to end. In this role, you’ll be the bridge between marketing, RevOps, and sales – making sure our tools, workflows, and reporting translate into real pipeline impact, not just activity.

You’ll combine hands-on system expertise (HubSpot, Salesforce, automation tools) with a strategic mindset to design scalable processes, enable our teams, and continuously optimize performance across awareness, engagement, and revenue.

Skills and experience you can bring to this role!

Ownership mindset. You take full accountability for outcomes — from identifying opportunities to driving measurable business impact. You’re comfortable making decisions and ensuring alignment across teams.

Business strategist. You understand how operational excellence fuels growth. Every initiative you lead connects back to tangible business value and performance metrics.

Proactive self-starter. You spot improvement areas early, propose low-lift solutions, and communicate clearly with all stakeholders to keep everyone on track.

Adoption advocate. You know that success isn’t just about process — it’s about people. You design and drive effective enablement strategies to ensure new tools and workflows are embraced across the organization.

Qualifications and experience

Must have:

• 5+ years of proven track record in marketing operations or marketing technology roles.
• Hands-on experience with using and managing marketing automation platforms (Hubspot (preferred), Marketo, Pardot, etc)
• Strong aptitude in process optimization, workflow automation, APIs and tracking implementations.
• Demonstrable experience building dashboards, analyzing performance metrics, and providing strategic insights.
• Proven track record of being a Salesforce power user to ensure seamless data alignment across systems.
• Exceptional communication, documentation, and organizational skills with attention to detail and consistency.
• Dedication to increasing knowledge of Marketing Operations best practices and new tools.
• Self-starter, with a growth mindset and an ability to thrive in ambiguity and a fast-paced environment.
• Proficiency in English.

Nice-to-have:

• Technical fluency with data and automation tools such as DataGroomr, Zapier, Zoom Events, Clearout, and CookieYes to maintain automation, data integrity, and compliance.
• Familiarity with business intelligence and reporting tools such as Power BI or Tableau to enhance data-driven decision-making.
• Experience with intent data platforms like 6sense or Demandbase, as well as website deanonymization tools such as RB2B.
• Passion for AI and automation, using technology to improve personalization, accelerate campaign launches, and optimize marketing performance.

What impact you’ll make

Marketing technology and toolstack:

• Own and evolve the marketing tech stack (CRM, marketing automation, data enrichment, analytics) to support business goals through efficient, data-driven, and scalable operations.
• Maintain integrations between channels (eg website, email, social, event tools, etc) to ensure seamless data flow and tracking.
• Ensure compliance with local regulations, data integrity and governance.
• Train marketing team members on tools usage and ensure the technology is being used to its full potential.
• Evaluate and recommend new tools and technologies that improve efficiency, visibility, and marketing impact.

Process design and optimization:

• Build, document, and optimize marketing processes (campaign workflow, lead management, nurturing, scheduling, campaign reviews) proactively spotting issues and suggesting improvements.
• Collaborate with RevOps to align on account and lead scoring, routing, attribution, and pipeline influence.
• Create and maintain playbooks for recurring marketing activities.

Campaign execution support:

• Support the marketing team with the setup of campaigns, landing page templates, nurture sequences, etc to accelerate production times and streamline campaign launches.
• Maintain clean, verified contact databases to enhance deliverability, reduce bounce rates, and improve sender reputation.
• Monitor campaign performance, analyze key metrics, and provide actionable insights for continuous optimization.
• Enforce campaign management best practice: tagging, tracking parameters, UTMs, conversion mapping.

Data, analytics and reporting:

• Design and maintain KPI dashboards, regular reports, and data visualizations to track performance, ROI, and insights across all marketing activities.
• Maintain clean, accurate CRM data with automated deduplication, enrichment, and precise tagging for targeting and reporting.
• Manage GDPR- and CCPA-compliant cookie consent frameworks that balance user privacy with a seamless digital experience.
• Provide actionable insights to influence strategy, budget allocations, and channel mix.
• Stay updated with industry trends, marketing operations standards, and new technologies, proactively suggesting improvements.

What you’ll get

Regardless of your position or role, we have in place a wide array of benefits, including flexible working (hybrid/remote models) and generous time off policies (unlimited vacations, sick and parental leaves) to make it easier for all people to thrive and succeed at Star. On top of that, we offer an extensive reward and compensation package, intellectually and creatively stimulating space, health insurance and unique travel opportunities.

Your holistic well-being is central at Star. You'll join a warm and vibrant multinational environment filled with impactful projects, career development opportunities, mentorship and training programs, fun sports activities, workshops, networking and outdoor meet-ups.

We are looking for you!

We are seeking a Senior Data Scientist to drive the next generation of data-driven solutions. This role calls for deep expertise in data architecture, advanced analytics, and pipeline design. If you are a seasoned professional ready to lead initiatives, innovate with cutting-edge techniques, and deliver impactful data solutions, we’d be excited to have you join our journey.

Contract type: Gig contract
 

Skills and experience you can bring to this role

Qualifications & experience:

• At least 3 years of commercial experience with Python, Data Stack (NumPy, Pandas, scikit-learn) and web stack (Fast API / Flask / Django);
• Familiarity with one or more machine learning frameworks (XGBoost, TensorFlow, PyTorch);
• Strong mathematical and statistical skills;
• Good Understanding of SQL/RDBMS and familiarity with data warehouses (BigQuery, Snowflake, Redshift, etc.);
• Experience building ETL data pipelines (Airflow, Prefect, Dagster, etc);
• Knowledge of Amazon Web Services (AWS) ecosystem (S3, Glue, Athena);
• Experience with at least one MMM or marketing analytics framework (e.g., Robyn, PyMC Merydian or similar);
• Strong communication skills to explain technical insights to non-technical stakeholders.

Nice to have:

• Knowledge of digital advertising platforms (Google Ads, DV360, Meta, Amazon, etc.) and campaign performance metrics;
• Exposure to clean rooms (Google Ads Data Hub, Amazon Marketing Cloud);
• Familiarity with industry and syndicated data sources (Nielsen, Kantar etc);
• Experience with optimisation techniques (budget allocation, constrained optimisation);
• Familiarity with gen AI (ChatGPT APIs/agents, prompt engineering, RAG, vector databases). 

Educational requirements:

• Bachelor’s degree in Computer Science, Information Systems, or a related discipline is preferred. A Master's degree or higher is a distinct advantage.

What impact you’ll make 

• Build and validate marketing measurement models (e.g., MMM, attribution) to understand the impact of media spend on business outcomes;
• Develop and maintain data pipelines and transformations to prepare campaign, performance, and contextual data for modelling;
• Run exploratory analyses to uncover trends, correlations, and drivers of campaign performance;
• Support the design of budget optimisation and scenario planning tools;
• Collaborate with engineers, analysts, and planners to operationalise models into workflows and dashboards;
• Translate model outputs into clear, actionable recommendations for client and internal teams.

What you’ll get 

Regardless of your position or role, we have a wide array of benefits in place, including flexible working (hybrid/remote models) and generous time off policies (unlimited vacations, sick and parental leaves) to make it easier for all people to thrive and succeed at Star. On top of that, we offer an extensive reward and compensation package, intellectually and creatively stimulating space, health insurance and unique travel opportunities.

Your holistic well-being is central at Star. You'll join a warm and vibrant multinational environment filled with impactful projects, career development opportunities, mentorship and training programs, fun sports activities, workshops, networking and outdoor meet-ups.

We are looking for you!

As we continue to design and build data-driven solutions across diverse domains — we’re seeking a Data Engineer who thrives on transforming data into impactful insights. If you’re passionate about crafting robust architectures, optimizing data pipelines, and enabling intelligent decision-making at scale, we’d love to have you join our global team and shape the next generation of data excellence with us.

Contract type: Gig contract.

Skills and experience you can bring to this role

Qualifications & experience:

• 3+ years of intensive experience as a Data Engineer or in a similar role, with a demonstrable track record of leading large-scale projects;
• Mastery in Python and data stack (NumPy, Pandas, scikit-learn);
• Good Understanding of SQL/RDBMS and familiarity with data warehouses (BigQuery, Snowflake, Redshift, etc.);
• Experience building ETL data pipelines (Airflow, Prefect, Dagster, etc);
• Experience with modern Scrum-based Software Development Life Cycle (SDLC);
• Strong communication skills to explain technical insights to non-technical stakeholders.

Nice to have:

• Hands-on experience with Python web stack (Fast API / Flask);
• Proven expertise in designing and optimizing large-scale data pipelines;
• Comprehensive understanding of data governance principles and data quality management practices;
• Understand marketing and media metrics (i.e., what conversion rate is and how it is calculated).
• Exceptional leadership, communication, and collaboration skills, with a knack for guiding and nurturing teams.
  
   

Educational requirements:

• Bachelor’s degree in Computer Science, Information Systems, or a related discipline is preferred.

What impact you’ll make 

• Lead the design, development, testing, and maintenance of scalable data architectures, ensuring they align with business and technical objectives;
• Spearhead the creation of sophisticated data pipelines using Python, leveraging advanced Snowflake capabilities such as Data Shares, Snowpipe, Snowpark, and more;
• Collaborate intensively with data scientists, product teams, and other stakeholders to define and fulfill intricate data requirements for cross-channel budget optimization solutions;
• Drive initiatives for new data collection, refining existing data sources, and ensuring the highest standards of data accuracy and reliability;
• Set the gold standard for data quality, introducing cutting-edge tools and frameworks to detect and address data inconsistencies and inaccuracies; and
• Identify, design, and implement process improvements, focusing on data delivery optimization, automation of manual processes, and infrastructure enhancements for scalability.

What you’ll get 

Regardless of your position or role, we have a wide array of benefits in place, including flexible working (hybrid/remote models) and generous time off policies (unlimited vacations, sick and parental leaves) to make it easier for all people to thrive and succeed at Star. On top of that, we offer an extensive reward and compensation package, intellectually and creatively stimulating space, health insurance and unique travel opportunities.

Your holistic well-being is central at Star. You'll join a warm and vibrant multinational environment filled with impactful projects, career development opportunities, mentorship and training programs, fun sports activities, workshops, networking and outdoor meet-ups.